EXTRACTIVE BASED NEWS TEXT SUMMARIZING USING NLP

Author (s) : Mrs.R.SATHIYA PRIYA & Dr.K.SWATHI

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Abstract :
The great development of newsgroups has made accurate access to large amounts of information difficult. Managing large amounts of data requires expert and effective strategies. One such technique is a text summary, which presents information in a condensed form. It would be useful for any user to have access to a large amount of information in a short period of time while improving the news. This article uses data from English newsgroups and Tamil newsgroups to automate news summaries by calculating content location. The proposed work was done using a modified text order calculation that depends on the word repetition rule. The proposed approach makes the word vectors the center and the similarities between the two word the edge between them, which is the ribbon between them. Term repetition assigns different weights to different terms in the sentence, while the standard cosine approximation respects the two in comparison. The vector is sparsely supplied and divided into groups according to why the sentences in the set are indistinguishable and the sentences in different groups reflect their uniqueness.

Keywords : News Text Summarizing, NLP

Conference Date : 17/09/2021

Pages : 48

Paper ID : IESMDT46