Computational Linguistics and Intelligent Text Processing (eBook, PDF)
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The two volumes LNCS 9041 and 9042 constitute the proceedings of the 16th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2015, held in Cairo, Egypt, in April 2015.
The total of 95 full papers presented was carefully reviewed and selected from 329 submissions. They were organized in topical sections on grammar formalisms and lexical resources; morphology and chunking; syntax and parsing; anaphora resolution and word sense disambiguation; semantics and dialogue; machine translation and multilingualism; sentiment analysis and emotion detection;…mehr

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Produktbeschreibung
The two volumes LNCS 9041 and 9042 constitute the proceedings of the 16th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2015, held in Cairo, Egypt, in April 2015.

The total of 95 full papers presented was carefully reviewed and selected from 329 submissions. They were organized in topical sections on grammar formalisms and lexical resources; morphology and chunking; syntax and parsing; anaphora resolution and word sense disambiguation; semantics and dialogue; machine translation and multilingualism; sentiment analysis and emotion detection; opinion mining and social network analysis; natural language generation and text summarization; information retrieval, question answering, and information extraction; text classification; speech processing; and applications.


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  • Produktdetails
  • Verlag: Springer-Verlag GmbH
  • Seitenzahl: 688
  • Erscheinungstermin: 9. April 2015
  • Englisch
  • ISBN-13: 9783319181172
  • Artikelnr.: 44228750
Inhaltsangabe
Sentiment Analysis and Emotion Detection.- The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis.- Building Large Arabic Multi-domain Resources for Sentiment Analysis.- Learning Ranked Sentiment Lexicons.- Modelling Public Sentiment in Twitter: Using Linguistic Patterns to Enhance Supervised Learning.- Trending Sentiment-Topic Detection on Twitter.- EmoTwitter - A Fine-Grained Visualization System for Identifying Enduring Sentiments in Tweets.- Feature Selection for Twitter Sentiment Analysis: An Experimental Study.- An Iterative Emotion Classification Approach for Microblogs.- Aspect-Based Sentiment Analysis Using Tree Kernel Based Relation Extraction.- Text Integrity Assessment: Sentiment Profile vs Rhetoric Structure.- Sentiment Classification with Graph Sparsity Regularization.- Detecting Emotion Stimuli in Emotion-Bearing Sentences.- Sentiment-Bearing New Words Mining: Exploiting Emoticons and Latent Polarities.- Identifying Temporal Information and Tracking