Knowledge discovery out of text data: a systematic review via text mining

Antonio Usai · Marco Pironti · Monika Mital · Chiraz Aouina Mejri

103 citations0/0 files storedJournal of Knowledge Management

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Computational and Text Analysis Methods Sentiment Analysis and Opinion Mining Advanced Text Analysis Techniques

Abstract

Purpose The aim of this work is to increase awareness of the potential of the technique of text mining to discover knowledge and further promote research collaboration between knowledge management and the information technology communities. Since its emergence, text mining has involved multidisciplinary studies, focused primarily on database technology, Web-based collaborative writing, text analysis, machine learning and knowledge discovery. However, owing to the large amount of research in this field, it is becoming increasingly difficult to identify existing studies and therefore suggest new topics. Design/methodology/approach This article offers a systematic review of 85 academic outputs (articles and books) focused on knowledge discovery derived from the text mining technique. The systematic review is conducted by applying “text mining at the term level, in which knowledge discovery takes place on a more focused collection of words and phrases that are extracted from and label each document” (Feldman et al., 1998, p. 1). Findings The results revealed that the keywords extracted to be associated with the main labels, id est , knowledge discovery and text mining, can be categorized in two periods: from 1998 to 2009, the term knowledge and text were always used. From 2010 to 2017 in addition to these terms, sentiment analysis, review manipulation, microblogging data and knowledgeable users were the other terms frequently used. Besides this, it is possible to notice the technical, engineering nature of each term present in the first decade. Whereas, a diverse range of fields such as business, marketing and finance emerged from 2010 to 2017 owing to a greater interest in the online environment. Originality/value This is a first comprehensive systematic review on knowledge discovery and text mining through the use of a text mining technique at term level, which offers to reduce redundant research and to avoid the possibility of missing relevant publications.

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References

1988Organizational Learning 2012Business Intelligence and Analytics: From Big Data to Big Impact 1998If Only We Knew What We Know: Identification and Transfer of Internal Best Practices 1966The Logic of Tacit Inference 2009Textual analysis of stock market prediction using breaking financial news 2015Using text mining for study identification in systematic reviews: a systematic review of current approaches 2014Text mining for market prediction: A systematic review 2003A text-mining-based patent network: Analytical tool for high-technology trend

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