Best Text Analysis Software - Page 2

Bijou Barry
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Researched and written by Bijou Barry

Text analysis software, also called text analytics or text mining software, helps users gain insights from both structured and unstructured text data using natural language processing (NLP). Such insights include sentiment analysis, key phrases, language, themes and patterns, and entities, among others. These solutions leverage NLP and machine learning to pull out different insights and provide visual representations of the data for easier interpretation.

Text analysis tools can consume text data from a variety of sources, including emails, phone transcripts, surveys, customer reviews, and other documents. By importing text data from these different sources, businesses are better equipped to understand and analyze customer or employee sentiment, intelligently classify documents, and improve written content. Text analysis software may be used in conjunction with other analytics tools, including big data analytics and business intelligence platforms.

To qualify for the Text Analysis category, a product must:

Import text data from a variety of different data sources
Use natural language processing to extract insights from the text, including key phrases, language, sentiment, and other patterns
Provide visualizations for text data
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Featured Text Analysis Software At A Glance

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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189 Listings in Text Analysis Available
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(333)4.2 out of 5
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11th Easiest To Use in Text Analysis software
(42)4.7 out of 5
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6th Easiest To Use in Text Analysis software