Dimensionality Reduction of Distributed Vector Word Representations and Emoticon Stemming for Sentiment Analysis
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[1] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[2] Ewan Klein,et al. Natural Language Processing with Python , 2009 .
[3] Larry P. Heck,et al. Learning deep structured semantic models for web search using clickthrough data , 2013, CIKM.
[4] Johan Bollen,et al. Twitter mood predicts the stock market , 2010, J. Comput. Sci..
[5] Albert Bifet,et al. Sentiment Knowledge Discovery in Twitter Streaming Data , 2010, Discovery Science.
[6] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[7] Quoc V. Le,et al. Distributed Representations of Sentences and Documents , 2014, ICML.
[8] Jianfeng Gao,et al. Modeling Interestingness with Deep Neural Networks , 2014, EMNLP.
[9] Zachary Miller,et al. Gender Prediction on Twitter Using Stream Algorithms with N-Gram Character Features , 2012 .
[10] Shrikanth S. Narayanan,et al. A System for Real-time Twitter Sentiment Analysis of 2012 U.S. Presidential Election Cycle , 2012, ACL.
[11] Mark A. Hall,et al. Correlation-based Feature Selection for Machine Learning , 2003 .
[12] Yelong Shen,et al. A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval , 2014, CIKM.
[13] Huan Liu,et al. Chi2: feature selection and discretization of numeric attributes , 1995, Proceedings of 7th IEEE International Conference on Tools with Artificial Intelligence.
[14] Bernard J. Jansen,et al. Twitter power: Tweets as electronic word of mouth , 2009, J. Assoc. Inf. Sci. Technol..
[15] Zachary Miller,et al. Gender Identification on Twitter Using the Modified Balanced Winnow , 2012 .
[16] Martin F. Porter,et al. An algorithm for suffix stripping , 1997, Program.
[17] Andrew B. Whinston,et al. Whose and what chatter matters? The effect of tweets on movie sales , 2013, Decis. Support Syst..
[18] Geoffrey Zweig,et al. Linguistic Regularities in Continuous Space Word Representations , 2013, NAACL.
[19] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.