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      News Sentiment Analysis By Using Deep Learning Framework

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      ScienceOpen Preprints

      ScienceOpen

      Sentiment Analysis, SemEval, LSTM, Deep Learning

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          Abstract

          Attention is a deep learning mechanism which has been proved very helpful in the field of artificial intelligence and solving various AI problems, in order to bend the various intelligent tasks positively in the direction to its actual goal i.e AI. In this paper, I have used Attention Model to perform the task of sentiment analysis in any news article. After extracting the news article from a scraper and preprocessing the data, it will be fed into a sentiment analyser which will predict the sentiment of the news article at sentence and document level.

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          Author and article information

          Journal
          ScienceOpen Preprints
          ScienceOpen
          27 May 2020
          Affiliations
          [1 ] IIT Jodhpur
          Article
          10.14293/S2199-1006.1.SOR-.PPCV5IA.v2

          This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

          The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

          Computer science

          Deep Learning, LSTM, SemEval, Sentiment Analysis

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