Computational Linguistics and Intelligent Text Processing

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 Sentiment in Cancer Patients' Interviews.- Using Stylometric Features for Sentiment Classification.- Opinion Mining and Social Network Analysis.- Automated Linguistic Personalization of Targeted Marketing Messages Mining User-Generated Text on Social Media.- Inferring Aspect-Specific Opinion Structure in Product Reviews Using Co-training.- Summarizing Customer Reviews through Aspects and Contexts.- An Approach for Intention Mining of Complex Comparative Opinion Why Type Questions Asked on Product Review Sites.- TRUPI: Twitter Recommendation Based on Users' Personal Interests.- Detection of Opinion Spam with Character n-grams.- Content-Based Recommender System Enriched with Wordnet Synsets.- Active Learning Based Weak Supervision for Textual Survey Response Classification.- Detecting and Disambiguating Locations Mentioned in Twitter Messages.- Natural Language Generation and Text Summarization Satisfying Poetry Properties Using Constraint Handling Rules.- A Multi-strategy Approachfor