Text Summarization using Neural Networks |
Author(s): |
| Rupali Mittal , Army Institute Of Technology; Simran Sharma, Army Institute Of Technology; Asmiriti Kumari, Army Institute Of Technology; Geetika Chuphal, Army Institute Of Technology; Anant Kaulage, Army Institute Of Technology |
Keywords: |
| Word2vec, Neural Network, Abstractive, Extractive, LSTM |
Abstract |
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There are various news/articles which cannot be read completely in the hush of our daily schedules. Thus, summarization comes into picture. This paper focuses on summarizing a text using neural networks which creates a summary containing the important key points of the text/article. This summarization will be done using neural networks (word2vec model).It will focus only on English articles. The input given will be in .txt format. Thus it will make a lot easier to get a quick summary of the long articles and derive the conclusion about what is there in the articles and whether they are relevant for a user according to their interest. |
Other Details |
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Paper ID: IJSRDV7I30334 Published in: Volume : 7, Issue : 3 Publication Date: 01/06/2019 Page(s): 474-478 |
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