Blog
About

127
views
0
recommends
+1 Recommend
1 collections
    4
    shares
      • Record: found
      • Abstract: found
      • Conference Proceedings: found
      Is Open Access

      Sentiment analysis for reviews and microtexts based on lexico-syntactic knowledge

      Fifth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2013) (FDIA)

      Future Directions in Information Access (FDIA 2013)

      3 September 2013

      Sentiment Analysis, Opinion Mining, Dependency Parsing, Machine Learning

      Read this article at

      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.

          Abstract

          We describe two methods to perform sentiment analysis both on long and short texts written in Spanish language. We first present an unsupervised method based on dependency parsing which calculates the semantic orientation (SO) of the sentences in order to classify the polarity. We then propose a hybrid approach which uses the computed SO and lexico-syntactic knowledge as features for a supervised classifier. Experimental results show the utility of employing syntactic information to classify the polarity in both types of texts and the importance of defining mechanisms to adapt the system for a specific domain and social medium.

          Related collections

          Most cited references 5

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

          Lexicon-Based Methods for Sentiment Analysis

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

            Algorithms for Deterministic Incremental Dependency Parsing

             Joakim Nivre (2008)
              Bookmark
              • Record: found
              • Abstract: not found
              • Conference Proceedings: not found

              The effect of negation on sentiment analysis and retrieval effectiveness

                Bookmark

                Author and article information

                Contributors
                Conference
                September 2013
                September 2013
                : 38-43
                Affiliations
                Departamento de Computación, Universidade da Coruña

                Spain
                Article
                10.14236/ewic/FDIA2013.8
                © David Vilares. Published by BCS Learning and Development Ltd. Fifth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2013), Granada, Spain

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Fifth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2013)
                FDIA
                5
                Granada, Spain
                3 September 2013
                Electronic Workshops in Computing (eWiC)
                Future Directions in Information Access (FDIA 2013)
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

                Comments

                Comment on this article