Survey of Text Mining Technology
Yuan Jun-peng
Abstract
Yuan Jun-peng
Abstract
Text Mining,also known as intelligent text analysis,text data mining or Knowledge-Discovery in Text(KDT),is a rapidly emerging field concerned with the extraction of concepts,relations,and implicit knowledge from texts.As most information(over 80%) is stored as text,text mining is believed to have a high commercial potential value.Firstly,this review paper discusses the research status of text mining,then it lays out the framework of text mining and analyses techniques of text mining,such as feature selection,automatic abstracting,text categorization,text clustering,text association,data visualization.In the end, it shows the importance of text mining in knowledge discovery and highlights the upcoming challenges of text mining and the opportunities it offers.
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Text Mining,also known as intelligent text analysis,text data mining or Knowledge-Discovery in Text(KDT),is a rapidly emerging field concerned with the extraction of concepts,relations,and implicit knowledge from texts.As most information(over 80%) is stored as text,text mining is believed to have a high commercial potential value.Firstly,this review paper discusses the research status of text mining,then it lays out the framework of text mining and analyses techniques of text mining,such as feature selection,automatic abstracting,text categorization,text clustering,text association,data visualization.In the end, it shows the importance of text mining in knowledge discovery and highlights the upcoming challenges of text mining and the opportunities it offers.
Key concepts: Computer science, Knowledge extraction, Concept mining, Biomedical text mining, Text mining, Text graph, Information retrieval, Noisy text analytics