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An Efficient Method based on Lexical Chains for Automatic Text Summarization

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Shweta Saxena, Akash Saxena

Shweta Saxena and Akash Saxena. An Efficient Method based on Lexical Chains for Automatic Text Summarization. International Journal of Computer Applications 144(1):47-52, June 2016. BibTeX

	author = {Shweta Saxena and Akash Saxena},
	title = {An Efficient Method based on Lexical Chains for Automatic Text Summarization},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2016},
	volume = {144},
	number = {1},
	month = {Jun},
	year = {2016},
	issn = {0975-8887},
	pages = {47-52},
	numpages = {6},
	url = {},
	doi = {10.5120/ijca2016910104},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Automatic Text Summarization is an interesting topic for research. Still it is growing on. Increment of the data is exponentially growing on and it becomes too much difficult to find out the correct or relevant data in huge amount of data. So it becomes important for researchers to use it for efficient retrieval of information. Hence Text Summarization plays an important role for this problem. Summarization gives the short version for the text document which contains the main context of the document. Summarization can be classified into two categories: Extractive and Abstractive. This paper presents the extractive summary using lexical chaining approach. Lexical chains are created by using Knowledge based database i.e. Wordnet. This paper compares results with the traditional methods and gives better results.


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Extractive Summarization, Lexical chains, Semantic relations, Text Summarization (TS), Wordnet.