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Text analytics

76 articles · Page 2

This section gathers the site's articles on text analytics: the software, methods and decisions involved in turning documents, reports and open-ended responses into usable insight. Coverage includes natural language processing and machine learning approaches to text, semantic analysis, automated text analysis and key insight extraction, plus how these techniques fit into business intelligence and market research work. Articles compare text analytics platforms and explain how to choose software, weigh enterprise adoption questions, and look at reported ROI alongside the risks and limitations vendors tend to leave out. Also here: case studies, text mining trends, and guidance on reading business and market research reports critically, including alternatives to spreadsheet-based analysis.