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What is WordStat?

WordStat is a highly intuitive and adaptable text analysis software that streamlines the extraction of themes and trends using text mining tools while also offering comprehensive measurement capabilities through its sophisticated quantitative content analysis features. This application caters to anyone needing to quickly analyze substantial amounts of documents to derive meaningful insights. Its utility spans various areas, such as assessing open-ended survey feedback, improving business intelligence, scrutinizing news reports, identifying fraudulent activities, and more. WordStat's compatibility with SimStat for statistical data analysis, QDA Miner for qualitative assessments, and Stata, a detailed statistical program from StataCorp, provides unmatched flexibility in merging text analysis with structured datasets, including both numerical and categorical elements. Furthermore, its versatile design ensures it can be utilized across multiple industries and research domains, empowering users to efficiently address a range of analytical tasks and challenges they may encounter. As a result, WordStat not only enhances the quality of data analysis but also improves decision-making processes by delivering deeper insights.

What is Atomic Intelligence?

Atomic Intelligence provides a digital platform designed for the automated analysis of written content. We sift through extensive datasets, which encompass news stories, social media updates, and regulatory documents, identifying expressed viewpoints along with mentions of companies, products, and various subjects. Our offerings are crucial for investment firms that utilize this information to refine their proprietary trading strategies, consumer goods companies looking to assess customer sentiment, and technology organizations aiming to outsource text analysis tasks. Atomic Intelligence diligently examines texts to reveal references to companies, products, sentiment, and a multitude of other factors. By employing cutting-edge natural language processing and machine learning techniques, we detect important mentions, whether they are overtly articulated or subtly suggested within the material. Furthermore, Atomic Intelligence can efficiently manage any type of unstructured data. Users have the option to upload files via our web interface or API, or they can configure Atomic for automated scheduled data retrieval from their chosen sources, thus simplifying the analysis workflow. This functionality not only enhances efficiency but also equips organizations with the tools needed to extract meaningful insights and make well-informed decisions grounded in thorough textual analysis. Ultimately, our goal is to transform the way organizations interact with text data, facilitating a deeper understanding of market sentiments and trends.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Provalis Research

Date Founded

1989

Company Location

Canada

Company Website

provalisresearch.com

Company Facts

Organization Name

Atomic Intelligence

Date Founded

2003

Company Location

United States

Company Website

www.atomicintelligence.com

Categories and Features

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

Text Mining

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

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