TEXT MINING SOFTWARE
WordStat is a flexible and easy-to-use text mining software. It can be used by anyone who needs to quickly extract and analyze information from large amounts of documents. The software allows to:
- Quickly extract words, phrases, named entities, themes, trends, patterns.
- Explore content with state of the art topic modeling.
- Relate content to structured information, including numerical and categorical data.
- Import from many sources such as Word, Excel, PDF’s, online surveys, social media, emails, reference management tools, and many more.
- Automatically classify content into categories by building and applying categorization dictionaries or supervised machine learning models.
- Use interactive visualization tools: clustering, multidimensional scaling, proximity plots, correspondance analysis plot, and many more.
- Verify or dig deeper into your analysis by going back to the text from almost any feature, chart or graph.
Our text mining software can be used in many applications such as analysis of open-ended responses, social media data, content analysis of news coverage, fraud detection, legal documents, medical records, corporate reports, and more.
WordStat Key Features
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.
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.).
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
TRANSFORM TEXT USING PYTHON SCRIPTS
• Use Python script and its full range of open-source libraries to preprocess or transform text documents for analysis in WordStat.
![Import Python scripts into WordStat](https://provalisresearch.com/wp-content/uploads/2020/05/Python.png)
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.