Computational Linguistics and Intelligent Text Processing

1. Front Matter

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2. Sentiment Analysis and Emotion Recognition

   1. Sentence-Level Sentiment Analysis in the Presence of Modalities

      • Yang Liu, Xiaohui Yu, Bing Liu, Zhongshuai Chen

      Pages 1-16

   2. Word-Level Emotion Recognition Using High-Level Features

      • Johanna D. Moore, Leimin Tian, Catherine Lai

      Pages 17-31

   3. Constructing Context-Aware Sentiment Lexicons with an Asynchronous Game with a Purpose

      • Marina Boia, Claudiu Cristian Musat, Boi Faltings

      Pages 32-44

   4. Acknowledging Discourse Function for Sentiment Analysis

      • Phillip Smith, Mark Lee

      Pages 45-52

   5. A Method of Polarity Computation of Chinese Sentiment Words Based on Gaussian Distribution

      • Ruijing Li, Shumin Shi, Heyan Huang, Chao Su, Tianhang Wang

      Pages 53-61

   6. A Sentence Vector Based Over-Sampling Method for Imbalanced Emotion Classification

      • Tao Chen, Ruifeng Xu, Qin Lu, Bin Liu, Jun Xu, Lin Yao et al.

      Pages 62-72

   7. Reader Emotion Prediction Using Concept and Concept Sequence Features in News Headlines

      • Yuanlin Yao, Ruifeng Xu, Qin Lu, Bin Liu, Jun Xu, Chengtian Zou et al.

      Pages 73-84

   8. Identifying the Targets of the Emotions Expressed in Health Forums

      • Sandra Bringay, Eric Kergosien, Pierre Pompidor, Pascal Poncelet

      Pages 85-97

   9. Investigating the Role of Emotion-Based Features in Author Gender Classification of Text

      • Calkin Suero Montero, Myriam Munezero, Tuomo Kakkonen

      Pages 98-114

3. Opinion Mining and Social Networks

   1. A Review Corpus for Argumentation Analysis

      • Henning Wachsmuth, Martin Trenkmann, Benno Stein, Gregor Engels, Tsvetomira Palakarska

      Pages 115-127

   2. Looking for Opinion in Land-Use Planning Corpora

      • Eric Kergosien, Cédric Lopez, Mathieu Roche, Maguelonne Teisseire

      Pages 128-140

   3. Cross-Lingual Product Recommendation Using Collaborative Filtering with Translation Pairs

      • Kanako Komiya, Shohei Shibata, Yoshiyuki Kotani

      Pages 141-152

   4. Identifying a Demand Towards a Company in Consumer-Generated Media

      • Yuta Kikuchi, Hiroya Takamura, Manabu Okumura, Satoshi Nakazawa

      Pages 153-163

   5. Standardizing Tweets with Character-Level Machine Translation

      • Nikola Ljubešić, Tomaž Erjavec, Darja Fišer

      Pages 164-175

   6. #impressme: The Language of Motivation in User Generated Content

      • Marc T. Tomlinson, David B. Bracewell, Wayne Krug, David Hinote

      Pages 176-187

   7. Mining the Personal Interests of Microbloggers via Exploiting Wikipedia Knowledge

      • Miao Fan, Qiang Zhou, Thomas Fang Zheng

      Pages 188-200

   8. Website Community Mining from Query Logs with Two-Phase Clustering

      • Lidong Bing, Wai Lam, Shoaib Jameel, Chunliang Lu

      Pages 201-212

   9. Extracting Social Events Based on Timeline and User Reliability Analysis on Twitter

      • Bayar Tsolmon, Kyung-Soon Lee

      Pages 213-223

4. Machine Translation and Multilingualism

   1. Beam-Width Adaptation for Hierarchical Phrase-Based Translation

      • Fei Su, Gang Chen, Xinyan Xiao, Kaile Su

      Pages 224-232

This two-volume set, consisting of LNCS 8403 and LNCS 8404, constitutes the thoroughly refereed proceedings of the 14th International Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2014, held in Kathmandu, Nepal, in April 2014. The 85 revised papers presented together with 4 invited papers were carefully reviewed and selected from 300 submissions. The papers are organized in the following topical sections: lexical resources; document representation; morphology, POS-tagging, and named entity recognition; syntax and parsing; anaphora resolution; recognizing textual entailment; semantics and discourse; natural language generation; sentiment analysis and emotion recognition; opinion mining and social networks; machine translation and multilingualism; information retrieval; text classification and clustering; text summarization; plagiarism detection; style and spelling checking; speech processing; and applications.

• clustering and classification
• document management and text processing
• information retrieval
• information systems applications
• lexical semantics
• machine learning
• natural language processing
• semantic networks
• topic modeling
• unsupervised learning

• Center for Computing Research, National Polytechnic Institute, Mexico D.F, Mexico

  Alexander Gelbukh

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