Sentiment

Results: 1731



#Item
241

ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features Zhihua Zhang, Guoshun Wu, Man Lan∗ Shanghai Key Laboratory of Multidimensional Information Processing De

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Source URL: alt.qcri.org

Language: English - Date: 2015-05-06 14:57:42
    242

    SemEval-2015 Task 10: Sentiment Analysis in Twitter Sara Rosenthal Preslav Nakov National Research Council Canada

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    Source URL: alt.qcri.org

    Language: English - Date: 2015-05-06 14:57:38
      243Bilateral relations of Pakistan / IndiaPakistan relations / Military of Pakistan / Terrorism in Pakistan / ChinaPakistan relations / ChinaPakistan Economic Corridor / Pakistan / ChinaIndia relations / Nawaz Sharif / Kashmir conflict / Zakiur Rehman Lakhvi / Anti-Indian sentiment

      <4D6963726F736F667420576F7264202D20835283818393835E838A815B89708CEA816934388D8681452088BE9363816A2E646F6378>

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      Source URL: www.nids.go.jp

      Language: English - Date: 2016-01-05 23:09:51
      244

      “A Stock-Purchasing Agent from Sentiment Analysis of Twitter" Alvin Chyan Tim Hsieh

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      Source URL: cs229.stanford.edu

      Language: English - Date: 2012-01-24 22:54:19
        245

        SHELLFBK: An Information Retrieval-based System For Multi-Domain Sentiment Analysis Mauro Dragoni Fondazione Bruno Kessler Via Sommarive 18 Povo, Trento

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        Source URL: alt.qcri.org

        Language: English - Date: 2015-05-06 14:57:40
          246

          Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment Fatih Uzdilli Martin Jaggi

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          Source URL: www.m8j.net

          Language: English - Date: 2015-04-10 09:23:53
            247

            Recurrent Recursive Neural Networks for Sentiment A nalysis Amandeep Singh Electrical Engineering Department, Stanford University

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            Source URL: cs224d.stanford.edu

            Language: English - Date: 2015-06-22 12:46:43
              248Computing / Software / Information science / Social media / Twitter / Web 2.0 / Real-time web / Microblogging / Sentiment analysis / Hashtag

              Enhanced Twitter Sentiment Classification Using Contextual Information Soroush Vosoughi The Media Lab MIT Cambridge, MA 02139

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              Source URL: www.media.mit.edu

              Language: English - Date: 2015-09-07 20:07:54
              249

              Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis Nikolaos Pappas Andrei Popescu-Belis EPFL and Idiap Research Institute Idiap Research Institute

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              Source URL: emnlp2014.org

              Language: English - Date: 2014-10-16 05:19:22
                250

                IIIT-H at SemEval 2015: Twitter Sentiment Analysis The good, the bad and the neutral! Ayushi Dalmia, Manish Gupta∗, Vasudeva Varma Search and Information Extraction Lab International Institute of Information Technology

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                Source URL: alt.qcri.org

                Language: English - Date: 2015-05-06 14:57:40
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