Top Luminoso Alternatives

Semeon assists in analyzing and prioritizing extensive feedback from customers, employees, and marketplaces sourced from various channels such as social media, reviews, and CRM systems. The platform autonomously identifies and extracts multi-word concepts pertinent to your data, evaluates sentiment, and creates valuable dashboards for better insights. Available in over ten languages, Semeon’s technology is trusted by government bodies, security and defense organizations, brands, and institutions worldwide to enhance customer experiences, improve the quality of life for citizens, lower operational expenses, and foster growth. By leveraging these insights, organizations can make informed decisions that drive strategic improvements and innovation.

Employ cutting-edge machine learning methodologies for an in-depth analysis of text that facilitates the extraction, interpretation, and secure storage of textual information. Utilizing AutoML, one can effortlessly build high-performance custom machine learning models without needing to write any code. Enhance your applications by implementing natural language understanding via the Natural Language API, which significantly boosts their capabilities. By employing entity analysis, you can accurately identify and categorize various elements in documents such as emails, chats, and social media exchanges, followed by conducting sentiment analysis to assess customer feedback and generate actionable insights for enhancing products and user experiences. Moreover, the Natural Language API, paired with speech-to-text functionalities, allows you to gather meaningful insights from audio sources as well. The Vision API also adds to your toolkit by providing optical character recognition (OCR) to convert scanned documents into digital formats. Additionally, the Translation API broadens your understanding of sentiment across multiple languages, making it easier to connect with diverse audiences. With the ability to perform custom entity extraction, you can uncover specialized entities within your documents that might be overlooked by conventional models, thereby saving time and resources that would otherwise be spent on manual processing. Furthermore, this robust methodology allows you to train your own high-quality machine learning models, enabling precise classification, extraction, and sentiment assessment, which enhances the efficiency and focus of your analysis. Ultimately, this all-encompassing strategy guarantees a thorough understanding of both textual and audio data, equipping businesses with profound insights to drive better decision-making and strategies.

MeaningCloud stands out as the most user-friendly and affordable solution for deriving insights from unstructured content such as articles, documents, and social media interactions. Our suite of text analytics products delivers precise insights from diverse content types across multiple languages, catering to both SaaS and on-premises deployments. We have extensive experience working across various sectors like pharmaceuticals, finance, media, and retail, allowing us to create customized, industry-specific solutions. Our offerings encompass a range of scenarios, including the extraction of insights, analysis of customer, employee, or citizen sentiments, as well as intelligent document automation. Additionally, we provide free access to our APIs, which allow for up to 20,000 calls annually, and offer add-ins compatible with Excel and Google Sheets. Our services also include seamless integrations with platforms like Dataiku and RapidMiner, along with SDKs available in PHP, Python, Java, and JavaScript, making it easy for users to incorporate our technology into their existing workflows. This comprehensive approach ensures that organizations can harness the full potential of their unstructured data efficiently.

JMP is a versatile data analysis application that works seamlessly on both Mac and Windows platforms, offering a blend of advanced statistical features and captivating interactive visualizations. Its intuitive drag-and-drop interface streamlines the data importation and analysis process, complemented by interconnected graphs, a vast array of sophisticated analytic tools, a built-in scripting language, and multiple sharing functionalities, all designed to enhance users' ability to examine their datasets both efficiently and effectively. Originally developed in the 1980s to capitalize on the advantages of graphical user interfaces in personal computing, JMP has continually progressed by integrating cutting-edge statistical methodologies and tailored analysis techniques from various sectors with each new iteration. Additionally, John Sall, the organization's founder, plays an active role as the Chief Architect, ensuring that the software evolves to meet the dynamic needs of analytical technology. This commitment to innovation and user experience underscores JMP's reputation as a leading choice for data analysis across numerous fields.

OpenText™ offers Unstructured Data Analytics Products that harness the power of AI and machine learning to assist organizations in uncovering and utilizing vital insights concealed within various forms of unstructured data, including text, audio, videos, and images. By enabling organizations to connect data at scale, they can gain a clearer understanding of the context and content embedded in rapidly growing unstructured content. The platform provides unified analytics for text, speech, and video across more than 1,500 data formats, facilitating the extraction of insights from diverse media types. Utilizing technologies like OCR, natural language processing, and other advanced AI models allows organizations to monitor and interpret the essence of unstructured data effectively. Additionally, leveraging cutting-edge innovations in deep neural networks and machine learning enables a deeper comprehension of both spoken and written language found within the data, ultimately leading to the discovery of even greater insights. This comprehensive approach not only enhances data understanding but also empowers organizations to make more informed decisions based on the valuable information extracted from their unstructured data.

Lexalytics, a prominent player in the fields of enterprise sentiment and text analysis since 2004, offers the Semantria API, which excels in natural language processing. This powerful tool provides a comprehensive suite of features, including multi-layered sentiment analysis, categorization, entity recognition, theme analysis, intention detection, and summarization, all accessible via an easy-to-use RESTful API. Users can customize Semantria through intuitive graphical configuration tools, making it adaptable to various needs. It supports 24 different languages and can seamlessly operate on public, private, and hybrid cloud infrastructures. Additionally, Semantria is designed to scale efficiently, accommodating everything from individual servers to extensive data centers, ensuring flexibility based on processing requirements. By integrating Semantria, businesses can enhance their text analytics and natural language processing capabilities, thus enriching cloud-based data analysis products or enterprise business intelligence systems. For a comprehensive business intelligence solution, organizations can also incorporate Lexalytics' storage or visualization tools, enabling them to effectively store, manage, analyze, and visualize their text documents for deeper insights. Such integration allows for a more informed decision-making process within organizations.

Deep Talk offers a swift solution for transforming text from diverse sources, including chats, emails, surveys, reviews, and social media, into actionable insights for businesses. Our intuitive AI platform enables seamless exploration of customer interactions. By leveraging unsupervised deep learning techniques, we process your unstructured text data to reveal significant insights. Our unique "Deepers," which are specially designed pre-trained deep learning models, facilitate tailored detection within your dataset. With the "Deepers" API, you can conduct real-time text analysis and efficiently categorize conversations or text. This functionality allows you to engage with individuals interested in your product, explore potential new features, or address any concerns they may have. Additionally, Deep Talk provides cloud-based deep learning models as a service, simplifying the process for users to upload their data or connect with compatible services. This process enables the extraction of insightful information from platforms such as WhatsApp, chat conversations, emails, surveys, and social networks. Ultimately, this innovative approach empowers your business to stay ahead by gaining a deeper understanding of customer preferences and sentiments effortlessly. Moreover, by continually refining our technology, we ensure that our users remain equipped with the latest tools for effective communication analysis.

Canvs AI serves as a powerful insight platform that converts open-ended responses from surveys, social media, and transcripts into meaningful conversational intelligence. Its capabilities extend to analyzing product reviews and various other types of feedback. Renowned brands, research firms, and media companies globally utilize Canvs to accelerate their insights and enhance their understanding of their target audiences, all while minimizing analysis costs. By automating the interpretation and analysis of open-ended text, Canvs helps users swiftly reveal consumer insights rich in emotional depth and analytical reliability. The platform features an intuitive insights portal that enables users to effectively explore, filter, and compare their results. Additionally, it facilitates the creation of impressive data visualizations. Canvs also automates the coding of attributes, recall, and awareness questions, enabling users to quickly identify and classify the sentiments and emotions expressed by respondents. This functionality ultimately empowers businesses to make more informed decisions based on nuanced consumer feedback.

Effortlessly manage your text data using a no-code interface designed to understand natural language, leaving the limitations of spreadsheets behind. Unlike conventional spreadsheets that struggle with the subtleties of language, SimpleX harnesses your understanding alongside its sophisticated features. Bid farewell to complicated queries and technical jargon; here, artificial intelligence functions seamlessly within an intuitive interface. Experience a tenfold enhancement in the speed of analyzing free text responses, allowing you to swiftly import, tag, classify, and organize countless quotes in mere seconds, as our AI handles the complex tasks. Instantly create treemaps or word clouds that can be easily incorporated into your presentations, along with structured exports rich in valuable insights. Capable of natively understanding and processing 50 languages, even in various formats, it can efficiently manage up to 10,000 text responses, including quotes, feedback, and reviews. With AI-powered analytical tools, it extracts insights at an accelerated pace, completing real-time tasks that previously required human effort. This advanced AI solution not only offers remarkable power but also prioritizes user-friendliness, fundamentally changing the way you engage with text data. As a result, you can now focus more on strategic decision-making rather than getting bogged down in data management.

Cauliflower is capable of processing feedback and comments related to all kinds of services or products. Utilizing Artificial Intelligence (AI), Cauliflower identifies key topics, assesses their significance, and establishes connections between them. It employs proprietary machine learning models designed to extract relevant content and gauge sentiment accurately. The platform features user-friendly dashboards equipped with filtering options and the ability to drill down into specific data points. Users can utilize various parameters to specify language, weight, ID, and timeframes. Additionally, custom filter variables can be defined from a dropdown menu. If needed, Cauliflower can translate its findings into a standardized language to ensure consistency. By adopting a company-wide language, businesses can move beyond sporadic readings of customer feedback and avoid simply quoting isolated opinions, thus fostering a more cohesive understanding of customer sentiment. This approach ultimately enhances strategic decision-making and improves overall customer engagement.

A platform dedicated to Machine Learning and Predictive Analytics significantly improves decision-making grounded in data and drives business expansion through advanced artificial intelligence within a cohesive framework of machine learning and big data analytics. OpenText Magellan harnesses the power of AI technologies to provide predictive analytics via intuitive and flexible data visualizations that amplify the effectiveness of business intelligence. The deployment of artificial intelligence software simplifies the challenges associated with big data processing, delivering crucial business insights that resonate with the organization’s primary objectives. By enhancing business functions with a customized mix of features—including predictive modeling, tools for data exploration, data mining techniques, and analytics for IoT data—companies can leverage their data to enhance decision-making based on actionable insights. This all-encompassing method not only boosts operational efficiency but also cultivates an environment of innovation driven by data within the organization. As a result, organizations may find themselves better equipped to adapt to changes in the market and swiftly respond to emerging trends.

NaturalText A.I. enables users to extract more value from their data by revealing relationships and building comprehensive collections while uncovering concealed insights within documents and text-based information. Utilizing advanced artificial intelligence technology, this software identifies hidden data connections that might otherwise go unnoticed. By employing cutting-edge techniques, it interprets context and analyzes patterns to present insights in an easily comprehensible format. Finding critical information within extensive text data can be a daunting task, as traditional search methods are limited to indexing document information. In contrast, NaturalText A.I. has the capability to discover new insights across vast collections, including patents and academic research. This innovative tool not only enhances your understanding of existing data but also opens the door to valuable insights that may have previously remained hidden. With NaturalText A.I., you can transform the way you interact with your data, leading to more informed decisions and strategies.

The TextRazor API is a powerful tool designed to effectively reveal the Who, What, Why, and How of your news content. With features like Entity Extraction, Disambiguation, and Linking, it also includes Keyphrase Extraction, Automatic Topic Tagging, and Classification, supporting a total of twelve languages. This API conducts a thorough examination of your text, enabling the extraction of Relations, Typed Dependencies among words, and Synonyms, which aids in the creation of sophisticated semantic applications that are aware of context. Additionally, it facilitates the rapid extraction of custom entities such as products and companies, allowing users to set specific tagging rules that fit their content needs. TextRazor presents a flexible text analysis framework that can be accessed either through cloud services or by self-hosting. Its integration of advanced natural language processing technologies with a vast knowledge base helps users quickly generate valuable insights from various types of content, including documents, tweets, or web pages. This makes it a vital resource for both content creators and analysts who seek to enhance their understanding of data. Ultimately, TextRazor’s holistic approach guarantees that users can optimize their data processing and analytical strategies to achieve superior outcomes.

Customer-focused businesses strive to identify the challenges that hinder their clients' experiences, yet developing an effective data-driven plan to resolve these concerns can be quite challenging. Keatext facilitates this process by evaluating customer feedback, providing AI-driven insights on priority issues, and compiling this information into a shareable report. By assessing both the strengths and weaknesses of your customer experience, you can understand how they impact overall satisfaction levels. The AI-generated recommendations will highlight the most pressing concerns that need attention. Additionally, you can generate an executive summary using advanced language-generation tools to present Keatext's findings in an easily digestible format. Furthermore, a customizable dashboard allows for the monitoring and identification of trends in customer satisfaction over time. Lastly, Keatext offers seamless integration with popular platforms like Zendesk, Surveymonkey, ServiceNow, and Qualtrics to enhance your analysis.

Enterpret enables organizations to thoroughly assess customer feedback on a significant scale. We tackle complex issues in fields such as natural language processing, machine learning operations, analytics, and data visualization. Our core mission is to ease customer pain points by persistently identifying and tackling their most pressing challenges. The milestones we achieve are a reflection of our ambitions, as we strive for lofty goals and dedicate ourselves to achieving them. Challenges we face are transformed into learning opportunities that propel our advancement. Our all-encompassing system for decoding customer feedback ensures that you focus on developing the most crucial features first. By merging user insights with behavioral segments, you can refine your workflows and minimize the time spent on user interviews and surveys, ultimately improving your product development strategy. This methodology not only simplifies your efforts but also fortifies your relationship with your customers. In doing so, it paves the way for more tailored solutions that resonate with their needs.

Our text analysis platform, dedicated to ensuring online child safety, unlocks valuable business insights from your existing text data. Relative Insight’s cutting-edge technology equips marketing professionals and brand strategists to maximize the benefits of their textual assets. Utilizing a comparative approach, we enable the swift creation of comprehensive audience insights at scale, enhancing your qualitative assessments with a profound level of detail and accuracy. Armed with these distinctive marketing insights, brands can refine their messaging, enhance their market positioning, and develop more effective campaigns. Our platform simplifies the interpretation and utilization of unstructured data, significantly reducing the time required for analysis. Furthermore, this approach is versatile and can be applied across various primary research formats such as interviews, focus groups, and videos, uncovering hidden data treasures that you might not have recognized. Relative Insight also facilitates direct comparisons of your brand's messaging against that of your competitors, helping you maintain a competitive edge in your industry. By delving into these insights, brands can forge stronger connections with their audiences, boost engagement, and ultimately drive better business outcomes. This holistic understanding of the market landscape empowers brands to navigate challenges and seize opportunities with confidence.

Utilize your understanding to develop machine learning models that enhance text-centric workflows effectively, achieving a level of quality comparable to human output on a large scale. You have the option to build custom models tailored to your specifications, adapt our leading models to fit your particular requirements, or directly use Primer's ready-made models. With Primer Automate, everyone in your organization can learn to create and train models without any programming skills or technical expertise. By enriching your data with an organized intelligence framework, you can create a scalable knowledge repository capable of processing billions of documents in just seconds. This enables you to swiftly find answers to critical questions, monitor updates instantaneously, and effortlessly produce coherent and succinct reports. You can manage all types of communication, including documents, emails, PDFs, text messages, and social media content, to extract the most pertinent information. Primer Extract employs cutting-edge machine learning techniques to support quick and thorough data investigation. In addition to basic keyword searches, Extract also includes robust functionalities such as translation, optical character recognition (OCR), and image recognition, making it an all-encompassing tool for data analysis. This empowers organizations to fully leverage their information efficiently, resulting in smarter and more informed decision-making processes. By integrating these advanced capabilities, you can transform the way your organization interacts with data, ensuring that insights are always accessible and actionable.

The Tisane API serves as a natural language understanding tool specifically designed for law enforcement and the detection of abusive content. It is adept at identifying various issues, including but not limited to: • Hate speech • Cyberbullying • Criminal behavior • Sexual propositions • Efforts to make unauthorized external contact Furthermore, Tisane not only highlights the problematic areas within the text but can also offer explanations for review or verification purposes. Impressively, the API supports 30 different languages, effectively managing even those that incorporate slang or disguised language. This versatility enhances its utility in diverse linguistic environments.

Sphinx iQ 3 is a versatile and intuitive multi-channel survey platform that supports you in every step of your projects, from designing surveys to interpreting and sharing results. By combining quantitative and qualitative visualization methods, Sphinx iQ 3 allows your data to present a thorough and nuanced perspective on your findings. This cutting-edge tool helps you fully leverage the insights from your research, guiding your decision-making processes. You have the flexibility to tailor your invitation messages and design unique surveys, modifying aspects such as layout, number of questions per page, types of questions, and appreciation notes. Your surveys can be further enhanced by incorporating conditional questions and referral options, ensuring that you address the right queries to the suitable participants. Furthermore, Sphinx iQ 3 facilitates the distribution of engaging and interactive questionnaires that are fully optimized for a range of devices, including desktops, tablets, and smartphones, enhancing user interaction through a responsive design. This adaptability not only helps you connect with your audience more effectively but also leads to richer data collection and analysis, empowering you to make better-informed decisions based on the results. With its robust features, Sphinx iQ 3 revolutionizes the survey process, making it accessible and efficient for all users.

With 35 years of expertise in crafting and providing cutting-edge technology, BIS developed Grooper from its inception. Grooper serves as an intelligent tool for data processing and digital integration, enabling organizations to derive valuable insights from both paper and electronic documents, as well as other unstructured data sources. This platform integrates sophisticated image processing, capture technology, and machine learning alongside optical character recognition, enhancing data quality and ensuring it is comprehensible to humans. Grooper has become the cornerstone for numerous pioneering solutions across various sectors, such as healthcare, financial services, and education, demonstrating its versatility and effectiveness in meeting diverse industry needs. Its ability to transform raw data into actionable insights has made it a vital asset for organizations seeking to optimize their information handling processes.

PolyAnalyst is a versatile data analysis platform employed by major corporations across various sectors like insurance, manufacturing, and finance. One of its standout attributes is the visual composer, which allows users to engage in complex data analysis without the need for traditional programming skills. This tool excels in integrating both structured and poly-structured data, facilitating a unified approach to analysis that encompasses both multiple-choice and open-ended responses. Additionally, it supports text data processing in over 16 languages, making it accessible to a global audience. With an array of features designed for thorough data analysis, PolyAnalyst enables users to load, cleanse, and prepare datasets efficiently, implement machine learning and supervised analytics techniques, and generate reports that empower non-analysts to derive valuable insights. Ultimately, its user-friendly interface and comprehensive capabilities make PolyAnalyst an essential asset for organizations aiming to leverage data effectively.

JADBio is an automated machine learning platform that leverages advanced technology to facilitate machine learning without the need for programming skills. It addresses various challenges in the field of machine learning through its cutting-edge algorithms. Designed for ease of use, it enables users to conduct complex and precise analyses regardless of their background in mathematics, statistics, or coding. Tailored specifically for life science data, especially in the realm of molecular data, it adeptly manages challenges associated with low sample sizes and the presence of high-dimensional measurements that can number in the millions. For life scientists, it is crucial to pinpoint predictive biomarkers and features while gaining insights into their significance and contributions to understanding molecular mechanisms. Furthermore, the process of knowledge discovery often holds greater importance than merely creating a predictive model. JADBio places a strong emphasis on feature selection and interpretation, ensuring that users can extract meaningful insights from their data. This focus enables researchers to make informed decisions based on their findings.

Medallia provides users with the ability to engage in meaningful and organized methods through both digital and traditional surveys. Our user-friendly survey solutions guarantee the collection of pertinent and actionable data that can lead to significant customer impacts. Utilizing advanced AI technology, Medallia analyzes both structured and unstructured survey data through machine learning, allowing it to reveal sentiment, forecast behaviors, pinpoint trends, and suggest actionable steps to enhance customer experiences. By creating highly effective surveys, you can transform customer journeys for the better. Furthermore, our platform allows for swift management of innovation and change across all facets of your experience management program, including design, email communications, survey questions, and language translations. With Medallia surveys, you are empowered to drive meaningful improvements in customer engagement and satisfaction.

Modern organizations are faced with a massive surge of unstructured data, encompassing various formats like news articles, reports, presentations, and multimedia content. Those successful in leveraging this data gain a substantial advantage, yet only about 1% manage to turn it into a valuable strategic asset. Adarga's innovative knowledge platform stands out by processing unstructured data at speeds far beyond human capabilities, providing insights in formats that are easy to understand. This technology facilitates quicker reporting, allows for the analysis of complex scenarios, and helps users navigate intricate networks through its user-friendly AI features that enhance human decision-making. By automating demanding and knowledge-intensive tasks, the Adarga knowledge platform transforms productivity and broadens the scope of human potential. Utilizing cutting-edge AI techniques, such as natural language processing and network science, it swiftly analyzes unstructured data, seamlessly integrating it into a cohesive and secure software solution. Consequently, Adarga equips organizations with the tools to make well-informed decisions more promptly than they ever could before, redefining how they approach data utilization in their strategic operations. As a result, the platform not only streamlines processes but also fosters an environment where innovation can flourish.

Our cutting-edge natural language processing technology utilizes artificial intelligence to gather, examine, and present insights from various types of customer communications. This encompasses everything from call transcripts, chat logs, emails, support inquiries, return requests, social media engagements, to surveys, all available in 47 languages. With our Explorer tool, users can swiftly evaluate open-ended text feedback within mere minutes. Furthermore, Explorer is equipped with an API that facilitates the effortless integration of unstructured text data into your business intelligence frameworks. The domain of employee experience is centered on evaluating and pinpointing the factors that enhance employee satisfaction and drive motivation. Our solutions enable organizations to effectively manage, analyze, and interpret large volumes of unstructured natural language information in significantly less time than typical methods. Designed for ease of use, the platform allows you to develop custom bots that cater to your unique business needs without requiring any programming skills. Immediate enhancements in operational efficiency can be realized just minutes after setup. In addition, the Gavagai API offers a comprehensive set of semantic analysis tools supporting 47 languages, granting users instant access to intuitive endpoints. This powerful functionality ensures that organizations can capitalize on insights drawn from their data, thereby improving their decision-making processes and fostering a more engaged workforce. Ultimately, by leveraging these advanced technologies, businesses can not only enhance customer communication but also significantly boost overall productivity and employee engagement.

Amazon Comprehend is an advanced natural language processing (NLP) platform that utilizes machine learning techniques to uncover insights and identify relationships within textual data, requiring no previous machine learning expertise for its application. Your unstructured data, which may originate from customer emails, support requests, product reviews, social media conversations, or marketing materials, is rich with insights that can greatly benefit your organization by reflecting customer attitudes. The main challenge is to harness this abundant information, but machine learning is adept at extracting specific elements from large volumes of text, such as identifying company names in financial reports, along with gauging the sentiment conveyed in the language, whether it involves addressing negative feedback or recognizing positive experiences with customer service. Amazon Comprehend enables you to uncover these hidden insights and relationships in your unstructured data, serving as a vital tool for improving business strategies and making informed decisions. As a result, leveraging this technology can transform the way you understand and respond to customer needs, ultimately driving growth and innovation within your organization.

Integrating, managing, securing, and analyzing all organizational data is essential for modern enterprises. Data represents a crucial asset for businesses, and its sheer volume is staggering. It encompasses both structured formats, like log files, spreadsheets, tables, and charts, as well as unstructured forms, including emails, documents, images, videos, and more. Often, this data is stored across various disconnected systems, leading to a proliferation of types and an escalating volume that complicates its usability over time. Users reliant on this data do not categorize their needs into rows, columns, or mere text; instead, they focus on their organization's objectives and the challenges they encounter. They seek the ability to pose questions about their data and receive insights in a context that resonates with them. The Palantir Gotham Platform offers a robust solution to this problem. By integrating and transforming diverse types of data into a unified asset, Palantir Gotham enhances and categorizes information into clearly defined entities, including objects, individuals, locations, and events, thereby facilitating more informed decision-making. Ultimately, this platform empowers organizations to navigate their data landscape more effectively.

Watson Natural Language Understanding is a cloud-based solution that utilizes advanced deep learning methods to extract metadata from text, such as entities, keywords, categories, sentiment, emotions, relationships, and syntactic structures. Engage deeply with your data through text analysis, allowing for the extraction of keywords, concepts, categories, and beyond. This service can analyze unstructured data in more than thirteen different languages. With its pre-built machine learning models for text mining, it achieves an impressive level of accuracy in processing your content. You have the flexibility to deploy Watson Natural Language Understanding behind your firewall or on any preferred cloud platform. Tailor Watson to understand the unique language of your business and obtain customized insights through Watson Knowledge Studio. Your ownership of data is safeguarded, as we prioritize the security and confidentiality of your information, ensuring that IBM will not collect or retain your data. By leveraging our advanced natural language processing (NLP) tools, developers can effectively decipher and extract significant insights from their unstructured data, thereby improving their decision-making processes. This cutting-edge method not only simplifies data analysis but also empowers organizations to fully exploit their information resources, leading to better strategic outcomes. Organizations that embrace this technology are likely to see enhanced efficiency and innovation across their operations.

Examine data thoroughly, share valuable insights, and develop a comprehensive research library. Seize opportunities and become an invaluable asset to your team. Utilize various qualitative research techniques, unstructured data, or video files to uncover patterns. Dovetail is an analysis tool that you will thoroughly enjoy utilizing. This platform is ideal for discovering trends in interviews, usability tests, survey responses, and various other domains. With its drag-and-drop intuitive interface, you can effortlessly organize tags into a structured hierarchy. Additionally, global tags can be incorporated into your project for broader categorization. By emphasizing key points, you can convert qualitative data into quantitative metrics and visualize your findings through diverse chart options. To tag content, just highlight the relevant text and make your selection. Moreover, you can transcribe video recordings to identify trends in interviews, usability tests, survey responses, and more. This process allows for a seamless transformation of qualitative data into quantitative insights. You have the ability to filter, segment, and chart recurring themes across transcripts, interview notes, and survey responses, enabling a deeper understanding of the collected information. Ultimately, leveraging Dovetail enhances your research capabilities and elevates your team's performance.

At Iris.ai, we have dedicated the past six years to developing an award-winning AI engine that excels in comprehending scientific texts. Our state-of-the-art algorithms for text similarity, extraction of tabular data, learning domain-specific entity representations, and entity disambiguation and linking rank among the finest globally. Additionally, our machine constructs an extensive knowledge graph that encompasses all entities and their interconnections, enabling users to learn from it, utilize it, and also provide feedback to enhance the system further. The Iris.ai Researcher Workspace offers a versatile suite of tools that enables users to tackle projects from multiple perspectives. Its modules feature content-driven exploratory searches, analytical assessments of document collections, systematic extraction and organization of data points, automated summarization of various documents, and highly effective filters based on context descriptions, machine analyses, or targeted data points and entities. Furthermore, the Iris.ai engine for scientific text understanding is a robust interdisciplinary platform that can be automatically fine-tuned for specific research domains, allowing for a deeper machine comprehension without the need for human training or annotation, ultimately streamlining the research process.