Text segmentation techniques: A critical review

Pak, Irina * and Teh, Phoey Lee * (2017) Text segmentation techniques: A critical review. In: Innovative, Computing, Optimization and its Applictions. Studies in Computational Intelligence Book Series (741). Springer, Cham, pp. 167-181. ISBN 978-3-319-66983-0

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Abstract

Text segmentation is widely used for processing text. It is a method of splitting a document into smaller parts, which is usually called segments. Each segment has its relevant meaning. Those segments categorized as word, sentence, topic, phrase or any information unit depending on the task of the text analysis. This study presents various reasons of usage of text segmentation for different analyzing approaches. We categorized the types of documents and languages used. The main contribution of this study includes a summarization of 50 research papers and an illustration of past decade (January 2007- January 2017)’s of research that applied text segmentation as their main approach for analysing text. Results revealed the popularity of using text segmentation in different languages. Besides that, the “word” seems to be the most practical and usable segment, as it is the smaller unit than the phrase, sentence or line.

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