Review of Text Mining Techniques
Priya Bhardwaj, Priyanka Khosla
Abstract
Priya Bhardwaj, Priyanka Khosla
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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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)