Titlebook: Computational Linguistics and Intelligent Text Processing; 15th International C Alexander Gelbukh Conference proceedings 2014 Springer-Verl

Emmenagogue

Constructing Context-Aware Sentiment Lexicons with an Asynchronous Game with a Purpose is a better choice. We identify context using a game with a purpose that increases the workers’ engagement in this complex task. With the contextual knowledge we obtain from only a small set of answers, we already halve the sentiment lexicons’ performance gap relative to human performance.

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Conference proceedings 2014telligent 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: lexica

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A Method of Polarity Computation of Chinese Sentiment Words Based on Gaussian Distributiond on Gaussian distribution which can analyze an analysis of semantic fuzziness of Chinese sentiment words quantitatively. Furthermore, several equations are proposed to calculate the polarities and strengths of sentiment words. Experimental results show that our method is highly effective.

Optic-Disk

Identifying the Targets of the Emotions Expressed in Health Forumsessional exchanges. In this paper, we focus on the emotions expressed by the authors of the messages and more precisely on the targets of these emotions. We suggest an innovative method to identify these targets, based on the notion of semantic roles and using the FrameNet resource. Our method has been successfully validated on real data set.