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Study and Research in Text Mining

HU Dong-jun

Open publisher page 1 citations

Abstract

Text Mining is a new topic of Data Mining, and is process of extracting interesting knowledge form large linguistic semantic text collections. First, it introduce the concept and developing of Data Mining. Then point out Text Mining and its status, Text classification and clustering are important in this. In the end , it shows the feature of Chinese text mining and highlighting the upcoming Challenges of text mining.

About this research paper

What this paper is about

Text Mining is a new topic of Data Mining, and is process of extracting interesting knowledge form large linguistic semantic text collections. First, it introduce the concept and developing of Data Mining. Then point out Text Mining and its status, Text classification and clustering are important in this. In the end , it shows the feature of Chinese text mining and highlighting the upcoming Challenges of text mining.

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OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

Text Mining is a new topic of Data Mining, and is process of extracting interesting knowledge form large linguistic semantic text collections. First, it introduce the concept and developing of Data Mining. Then point out Text Mining and its status, Text classification and clustering are important in this. In the end , it shows the feature of Chinese text mining and highlighting the upcoming Challenges of text mining.

Key concepts: Computer science, Concept mining, Biomedical text mining, Cluster analysis, Text mining, Information retrieval, Point (geometry), Process (computing)

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