JOURNAL ARTICLE

An Efficient Method based on Lexical Chains for Automatic Text Summarization

Shweta SaxenaAkash Saxena

Year: 2016 Journal:   International Journal of Computer Applications Vol: 144 (1)Pages: 47-52

Abstract

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.

Keywords:
Automatic summarization Computer science Natural language processing Information retrieval Artificial intelligence World Wide Web

Metrics

3
Cited By
0.56
FWCI (Field Weighted Citation Impact)
17
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Text Analysis Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
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