14
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      A Deep Learning Modified Neural Network(DLMNN) based proficient sentiment analysis technique on Twitter data

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references23

          • Record: found
          • Abstract: not found
          • Article: not found

          Contextual semantics for sentiment analysis of Twitter

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Aspect term extraction for sentiment analysis in large movie reviews using Gini Index feature selection method and SVM classifier

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Characterizing diabetes, diet, exercise, and obesity comments on Twitter

                Bookmark

                Author and article information

                Journal
                Journal of Experimental & Theoretical Artificial Intelligence
                Journal of Experimental & Theoretical Artificial Intelligence
                Informa UK Limited
                0952-813X
                1362-3079
                June 24 2022
                : 1-20
                Affiliations
                [1 ]Department of CSE, R.M.K Engineering College, Chennai, India
                [2 ]Department of CSE, R.M.K College of Engineering and Technology, Chennai, India
                [3 ]Department of CSE, R.M.D Engineering College. Chennai, India
                [4 ]Data Science and Analytics Centre, Karpagam College of Engineering, Coimbatore, India
                Article
                10.1080/0952813X.2022.2093405
                70dd73df-f113-42d9-bfc2-b6434552c038
                © 2022
                History

                Comments

                Comment on this article