Sentiment analysis

Results: 562



#Item
21Subsentential Sentiment on a Shoestring: A Crosslingual Analysis of Compositional Classification Michael Haas and Yannick Versley Institute for Computational Linguistics University of Heidelberg {haas,versley}@cl.uni-hei

Subsentential Sentiment on a Shoestring: A Crosslingual Analysis of Compositional Classification Michael Haas and Yannick Versley Institute for Computational Linguistics University of Heidelberg {haas,versley}@cl.uni-hei

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Source URL: www.cl.uni-heidelberg.de

- Date: 2015-04-15 08:33:38
    22CPH: Sentiment analysis of Figurative Language on Twitter #easypeasy #not Sarah McGillion H´ector Mart´ınez Alonso Barbara Plank University of Copenhagen, Njalsgade 140, 2300 Copenhagen S, Denmark ,

    CPH: Sentiment analysis of Figurative Language on Twitter #easypeasy #not Sarah McGillion H´ector Mart´ınez Alonso Barbara Plank University of Copenhagen, Njalsgade 140, 2300 Copenhagen S, Denmark ,

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    Source URL: www.aclweb.org

    - Date: 2015-05-31 02:50:53
      23Robust Cross-Domain Sentiment Analysis for Low-Resource Languages Jakob Elming Dirk Hovy Barbara Plank Centre for Language Technology University of Copenhagen

      Robust Cross-Domain Sentiment Analysis for Low-Resource Languages Jakob Elming Dirk Hovy Barbara Plank Centre for Language Technology University of Copenhagen

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      Source URL: anthology.aclweb.org

      - Date: 2014-06-16 05:50:36
        24Fine-Grained Sentiment Analysis with Structural Features C¨acilia Zirn† Mathias Niepert† Heiner Stuckenschmidt† Michael Strube‡ †KR & KM Research Group University of Mannheim Mannheim, Germany

        Fine-Grained Sentiment Analysis with Structural Features C¨acilia Zirn† Mathias Niepert† Heiner Stuckenschmidt† Michael Strube‡ †KR & KM Research Group University of Mannheim Mannheim, Germany

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        Source URL: aclweb.org

        - Date: 2011-10-06 20:55:25
          25United we stand: improving sentiment analysis by joining machine learning and rule based methods Vassiliki Rentoumi∗† , Stefanos Petrakis‡ , Manfred Klenner‡ , George A. Vouros † , Vangelis Karkaletsis∗ ∗

          United we stand: improving sentiment analysis by joining machine learning and rule based methods Vassiliki Rentoumi∗† , Stefanos Petrakis‡ , Manfred Klenner‡ , George A. Vouros † , Vangelis Karkaletsis∗ ∗

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          Source URL: www.lrec-conf.org

          - Date: 2010-06-28 09:24:22
            26Padawan Plan SenticNet Ltd. http://business.sentic.net SenticNet Padawan Plan offers advanced sentiment analysis services such as aspect extraction, microtext analysis, gisting, and topic modeling from short text-message

            Padawan Plan SenticNet Ltd. http://business.sentic.net SenticNet Padawan Plan offers advanced sentiment analysis services such as aspect extraction, microtext analysis, gisting, and topic modeling from short text-message

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              27Robust Cross-Domain Sentiment Analysis for Low-Resource Languages Jakob Elming Dirk Hovy Barbara Plank Centre for Language Technology University of Copenhagen

              Robust Cross-Domain Sentiment Analysis for Low-Resource Languages Jakob Elming Dirk Hovy Barbara Plank Centre for Language Technology University of Copenhagen

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              Source URL: aclweb.org

              - Date: 2014-06-16 05:50:36
                28Algorithms, Accountability, and Political Emotion: on the cultural assumptions underpinning sentiment analysis. blogs.lse.ac.uk/impactofsocialsciencesalgorithms-accountability-and-political-emotion/ Sentiment

                Algorithms, Accountability, and Political Emotion: on the cultural assumptions underpinning sentiment analysis. blogs.lse.ac.uk/impactofsocialsciencesalgorithms-accountability-and-political-emotion/ Sentiment

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                Source URL: eprints.lse.ac.uk

                - Date: 2016-08-04 05:43:13
                  29SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives Erik Cambria, Soujanya Poria, Rajiv Bajpai Bj¨orn Schuller Nanyang Technological University Imperial College London

                  SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives Erik Cambria, Soujanya Poria, Rajiv Bajpai Bj¨orn Schuller Nanyang Technological University Imperial College London

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                  Source URL: sentic.net

                    30Jedi Plan SenticNet Ltd. http://business.sentic.net SenticNet Jedi Plan offers unlimited API calls on unlimited content for holistic sentiment analysis services such as trend discovery, brand positioning, user profiling

                    Jedi Plan SenticNet Ltd. http://business.sentic.net SenticNet Jedi Plan offers unlimited API calls on unlimited content for holistic sentiment analysis services such as trend discovery, brand positioning, user profiling

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