Summarization of "Terms and Conditions" based on machine learning.

Sanjana Thakur; Prof. Ashwini Khairkar; Tripti Chauhan; Namrata Dhaigude; Priyanka Kumari

Summarization of "Terms and Conditions" based on machine learning.

April 2017

Vol-3, Issue-2

Paper ID: 4697

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Information Technology

Keywords

Automatic Text Summarization NLTK Genetic clustering SENCLUS Fitness function Scoring function

Abstract

In today’s digital world, the amount of data getting generated is in abundance .To deal with such large amount of information there is a need to summarize the data. Automatic Text summarization helps in dealing with this vast information which is generated on web and deep web. In this paper, a genetic clustering algorithm called SENCLUS is used to perform the summarization. Each cluster is formed by checking the value of fitness function for each token. Two functions called the fitness function and the SENLCUS scoring function are used for checking relevance of tokens to the cluster and for scoring the tokens in each cluster respectively. After scoring, each token is ranked according to the score given. Finally the summary is formed with the sentences including the most highly ranked tokens according to the size of the summary to be generated.

License

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Author Information

#	Name	Institute / Affiliation
1	Sanjana Thakur	Bharati Vidyapeeth's College Of Engineering for Women
2	Prof. Ashwini Khairkar	Bharati Vidyapeeth's College of Engineering for Women
3	Tripti Chauhan	Bharati Vidyapeeth's College Of Engineering for Women
4	Namrata Dhaigude	Bharati Vidyapeeth's College Of Engineering for Women
5	Priyanka Kumari	Bharati Vidyapeeth's College Of Engineering for Women

How to Cite

Use the following formats to cite this article in your research.

APA Style

Thakur, Sanjana, Khairkar, Prof. Ashwini, Chauhan, Tripti, Dhaigude, Namrata, & Kumari, Priyanka (2017). Summarization of "Terms and Conditions" based on machine learning.. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 4191-4193.

MLA Style

Thakur, Sanjana, et al. "Summarization of "Terms and Conditions" based on machine learning.." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 4191-4193.

IEEE Style

Sanjana Thakur, Prof. Ashwini Khairkar, Tripti Chauhan, Namrata Dhaigude, and Priyanka Kumari, "Summarization of "Terms and Conditions" based on machine learning.," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 4191-4193, 2017.

Vancouver Style

Thakur Sanjana, Khairkar Prof. Ashwini, Chauhan Tripti, Dhaigude Namrata, Kumari Priyanka. Summarization of "Terms and Conditions" based on machine learning.. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):4191-4193.

Harvard Style

Thakur, Sanjana, Khairkar, Prof. Ashwini, Chauhan, Tripti, Dhaigude, Namrata, & Kumari, Priyanka (2017) 'Summarization of "Terms and Conditions" based on machine learning.', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 4191-4193.

Chicago Style

Thakur, Sanjana, et al. "Summarization of "Terms and Conditions" based on machine learning.." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 4191-4193.

Turabian Style

Thakur, Sanjana, et al. "Summarization of "Terms and Conditions" based on machine learning.." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 4191-4193.