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Text analysis or mining is the use of computational methods such as machine learning, statistical analysis, and data visualization to analyze large text corpora for information such as word frequency and complexity, patterns across works and through time, etc. The most recognizable byproduct of textual analysis is a word cloud. Text analysis enriches research by opening up possibilities for "distant reading" in combination with the close readings common to much humanities scholarship. Distant reading allows scholars to, for example, analyze an author's entire body of work rather than focusing on certain works or small groups.
A high-learning curve tool for topic modeling - a type of text analysis in which, with human curation, words from large corpora are organized into distinct 'topics' to allow for thematic analysis of text.