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.
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A short explainer by Fuel Cycle about the benefits of technology for qualitative research – including text analytics, computer vision…