2017Unpublished venueRequires access

Review of Text Mining Techniques

Priya Bhardwaj, Priyanka Khosla

Open publisher page 12 citations

Abstract

Data mining is a process of discovering potential and practical, previously unknown patterns from large pre existing databases. Text mining is a realm of data mining in which large amount of structured and unstructured text data is analyzed to produce information of high commercial value. Analyzing textual data requires context analysis. This paper represents the current research status of text mining. Association rules, a novel technique in text mining is gaining increasing currency among research scholars is discussed. Based on studied attempts, the potential future research activities have been proposed.

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What this paper is about

Data mining is a process of discovering potential and practical, previously unknown patterns from large pre existing databases. Text mining is a realm of data mining in which large amount of structured and unstructured text data is analyzed to produce information of high commercial value. Analyzing textual data requires context analysis. This paper represents the current research status of text mining. Association rules, a novel technique in text mining is gaining increasing currency among research scholars is discussed. Based on studied attempts, the potential future research activities have been proposed.

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OpenAlex reports 12 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Data mining is a process of discovering potential and practical, previously unknown patterns from large pre existing databases. Text mining is a realm of data mining in which large amount of structured and unstructured text data is analyzed to produce information of high commercial value. Analyzing textual data requires context analysis. This paper represents the current research status of text mining. Association rules, a novel technique in text mining is gaining increasing currency among research scholars is discussed. Based on studied attempts, the potential future research activities have been proposed.

Key concepts: Association rule learning, Computer science, Context (archaeology), Data mining, Data science, Realm, Concept mining, Process (computing)

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