Text Analytics Interpretative Methods and Tools

Abstract

Abstract This chapter examines a range of methodologies in text analytics, with a particular emphasis on textual data interpretative methods. These methods mainly include topic modeling, content analysis, sentiment analysis, audience engagement analytics, hashtag analysis, and temporal analysis. The chapter provides a detailed overview of these methods and practical examples and solutions to perform these analyses. These strategies together offer a comprehensive set of tools for assessing and comprehending written content in different situations. The final part of this chapter introduces the readers to text analytics tools that can be employed to perform many of these analytical methods.

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