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What is MeaningCloud?

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.

What is Azure Text Analytics?

Harness natural language processing to gain valuable insights from unstructured text without requiring any machine learning knowledge, by utilizing an array of features from the Cognitive Services for Language. Elevate your understanding of customer emotions through sentiment analysis and identify key phrases and entities such as people, places, and organizations to uncover common themes and patterns. Use specialized, pretrained models to classify medical terminology specific to various fields. Evaluate text across multiple languages and reveal essential concepts within the content, which include key phrases and named entities that highlight individuals, events, and organizations. Delve into customer feedback regarding your brand while examining sentiments linked to specific topics through opinion mining techniques. Additionally, derive critical insights from unstructured clinical documents, including doctors' notes, electronic health records, and patient intake forms, by applying text analytics tailored for healthcare settings, ultimately enhancing patient care and informing decision-making processes. By integrating these advanced capabilities, organizations can stay ahead of trends and better meet the needs of their stakeholders.

Media

Media

Integrations Supported

Automation Anywhere
Azure Marketplace
Dataiku
Nekton.ai
RapidMiner
TAS Insight Engine
Unremot
Wufoo
Zapier

Integrations Supported

Automation Anywhere
Azure Marketplace
Dataiku
Nekton.ai
RapidMiner
TAS Insight Engine
Unremot
Wufoo
Zapier

API Availability

Has API

API Availability

Has API

Pricing Information

$99 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

MeaningCloud

Date Founded

1998

Company Location

United States

Company Website

meaningcloud.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/cognitive-services/text-analytics/

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Social Media Analytics Tools

Campaign Analytics
Competitor Monitoring
Customizable Reports
Engagement Tracking
Influencer Tracking
Multi-Channel Data Collection

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

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