Learning, technology & partners for insight & analytics
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.
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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.
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.