WordStat is a flexible and easy-to-use text analysis software – whether you need text mining tools for fast extraction of themes and trends, or careful and precise measurement with state-of-the-art quantitative content analysis tools. WordStat can be used by anyone who needs to quickly extract and analyze information from large amounts of documents. Our content analysis and text mining software can be used in many applications such as analysis of open-ended responses, business intelligence, content analysis of news coverage, fraud detection and more. WordStat‘s seamless integration with SimStat – our statistical data analysis tool – QDA Miner – our qualitative data analysis software – and Stata – the comprehensive statistical software from StataCorp, gives you unprecedented flexibility for analyzing text and relating its content to structured information, including numerical and categorical data.
EXPLORE DOCUMENT CONTENT USING TEXT MINING
• Analyze large amounts of unstructured information with WordStat. The software can process 25 million words per minute, quickly extract themes and automatically identify patterns using clustering, multidimensional scaling, proximity plots and more.
QUICKLY EXTRACT MEANING USING EXPLORER MODE
• Quickly and easily extract meaning from large amounts of text data using Explorer mode especially made for those with little text mining experience. In one click, you can extract the most frequent words, phrases and the most salient topics in your documents.
IMPORT FROM MANY SOURCES
• Import Word, Excel, HTML, XML, SPSS, Stata, NVivo, PDFs, as well as images. Connect and directly import from social media, emails, web survey platforms, and reference management tools.
EXTRACT THE MOST SALIENT TOPICS USING TOPIC MODELING
•Get a quick overview of the most salient topics from very large text collections using state-of-the-art automatic topic extraction based on words, phrases and related words (including misspellings).
EXPLORE CONNECTIONS
•Explore relationships among words or concepts and retrieve text segments associated with specific connections.
RELATE TEXT WITH STRUCTURED DATA
• Explore relationships between unstructured text and structured data such as dates, numbers or categorical data for identifying temporal trends or differences between subgroups or for assessing relationships with rating or other kinds of categorical or numerical data with statistical and graphical tools (correspondence analysis, heatmaps, bubble charts, etc.).
CATEGORIZE YOUR TEXT DATA USING DICTIONARIES
• Achieve full text analysis automation using existing dictionaries or create your own categorization model with words, phrases, proximity rules and more.
GET UNIQUE ASSISTANCE FOR DICTIONARY BUILDING
• Build your dictionary faster with tools for extracting common phrases and technical terms and for quickly identifying in your text collection misspellings, synonyms, antonyms and related words.
CATEGORIZE YOUR TEXT DATA USING MACHINE LEARNING
• Develop and optimize automatic document classification models using Naïve Bayes and K-Nearest Neighbours.
RETURN TO SOURCE DOCUMENT IN ONE CLICK
• Verify or dig deeper into your analysis by going back to the text from almost any feature, chart or graph. You can use the Keyword Retrieval or Keyword-in-Context features to retrieve sentences, paragraphs or whole documents. This is particularly helpful when building taxonomies or for word-sense disambiguation. You can also attach QDA Miner codes to retrieved segments.
PERFORM QUALITATIVE CODING
• Combine WordStat with a state-of-the-art qualitative coding tool (QDA Miner) for more precise exploration of data or more in-depth analysis of specific documents or extracted text segments when needed.
TRANSFORM UNSTRUCTURED TEXT INTO INTERACTIVE MAPS (GIS MAPPING)
• Relate unstructured text data with geographic information and create interactive plots of data points, thematic maps, and heatmaps, along with a geocoding web service for transforming location names, postal codes and IP addresses into latitude and longitudes.