Provalis Research WordStat

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.

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10.0/10 (Expert Score) ★★★★★
Product is rated as #4 in category Text Analysis Software
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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.

Provalis Research WordStat
Provalis Research WordStat

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Customer Reviews

Provalis Research WordStat Reviews

John A.

Advanced user of Provalis Research WordStat
★★★★★
Converting Unstructured Text Into Action and Business Results

What do you like best?

Wordstat reveals insights from text that go far beyond the traditional "bag-of-words" that is typically delivered by text mining tools. Wordstat's topic and phrase extraction along with its extensive visualization and statistical analytics provides the analyst with the deep insights needed to drive action on business projects. The tool's categorization dictionaries, pre-processing functions and exclusion lists enable the user to isolate and quickly capture the key concepts expressed in large volumes of text. The key word in context feature is very powerful also. It is an amazing tool for any business user who must convert unstructured text into actionable information. I find that one of the most powerful features of the Wordstat is its capability to convert unstructured text into structured Excel files for simple export into machine learning applications.

What do you dislike?

There is nothing to dislike about the product. The tool offers easy-to-use capabilities for the novice as well as powerful statistical and graphical functions for the expert.

What problems are you solving with the product? What benefits have you realized?

Wordstat is extremely helpful for clients who are using customer feedback text as inputs to machine learning and AI systems. The tool shortens the time required for pre-processing, and its dictionaries enable the user to simplify the buildout of variables for use in machine learning models. I find that text input is often a very powerful predictor for machine learning, and Wordstat makes it possible to execute in an efficient way.

Review source: G2.com

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