Text Analytics

Text Analytics

Learning, technology & partners for insight & analytics

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Language-based emotion detection and analysis  

Transparently priced text analysis in 46 languages

Artificial Intelligence for Customer Experience feedback

TEXT ANALYTICS OVERVIEW

Text analytics platforms rely on Natural Language Processing (NLP), a type of Artificial Intelligence.

These tools are used to make sense of unstructured data from a range of sources: verbatim comments in surveys, reviews posted in forums, posts in social media, comments transcribed in call centres and many other types of text-based input.

Key features of text analytics platforms include sentiment analysis; categorisation or topic analysis; entity extraction (eg to identify brands); and data visualisation - usually in an online dashboard.

Text analytics capabilities are also built into many platforms in other categories: Social Listening, Survey Software, Automated Surveys and Trend Analytics tools.

FIND MORE TEXT ANALYTICS SOLUTIONS

ARTICLES | EBOOKS | WHITE PAPERS | WEBINARS | VIDEOS

The Bluffer’s Guide to Text Analytics for Research

ARTICLE

An introductory guide to text analytics for research, including some background on NLP, 4 key concepts, 10 uses for text analytics in research and 4 ways to get it done.

6 Flavours of Text Analytics Platforms

ARTICLE

A quick look at six different varieties of text analytics platforms for research: for customer experience, social listening, emotion AI, free tools, integrations and survey coding.

Uncovering Human Emotions in Unstructured Data

WHITE PAPER

Free white paper from Heartbeat Ai that explores how we can interpret and measure emotion in the words used by customers, employees and everyone else.

10 Free Market & User Research Tools

ARTICLE

A collection of free market and user research tools to get more insight into your consumers. Featuring a wide range of tools, including MeaningCloud for text analytics.

The Guide to AI for Research & Analytics

E-BOOK

A lay person's guide to AI; over 20 use cases with example platforms; predictions about the impact of AI on research.

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