Context Sensitive Text Summarization Using K Means Clustering Algorithm

Provided by: International Journal of Soft Computing and Engineering (IJSCE)
Topic: Data Management
Format: PDF
The field of Information retrieval plays an important role in searching on the Internet. Most of the information retrieval systems are limited to the query processing based on keywords. In the information retrieval system matching of words with huge data is core task. Retrieval of the relevant natural language text document is of more challenging. In this paper, the authors introduce the concept of OpenNLP tool for natural language processing of text for word matching. And in order to extract meaningful and query dependent information from large set of offline documents, data mining document clustering algorithm are adopted.

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