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Author:   Alexander Gelbukh
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2015 ed.
Volume:   9042
Dimensions:   Width: 15.50cm , Height: 3.60cm , Length: 23.50cm
Weight:   1.080kg
ISBN:  

9783319181165

ISBN 10:   3319181165
Pages:   688
Publication Date:   21 April 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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 Lexicalizing Linked Open Data.- A Dialogue System for Telugu, a Resource-Poor Language.- Anti-Summaries: Enhancing Graph-Based Techniques for Summary Extraction with Sentiment Polarity.- A Two-Level Keyphrase Extraction Approach.- Information Retrieval, Question Answering, and Information Extraction Conceptual Search for Arabic Web Content.- Experiments with Query Expansion for Entity Finding.- Mixed Language Arabic-English Information Retrieval.- Improving Cross Language Information Retrieval Using Corpus Based Query Suggestion Approach.- Search Personalization via Aggregation of Multidimensional Evidence About User Interests.- Question Analysis for a Closed Domain Question Answering System.- Information Extraction with Active Learning: A Case Study in Legal Text.- Text Classification.- Term Network Approach for Transductive Classification.- Calculation of Textual Similarity Using Semantic Relatedness Functions.- Confidence Measure for Czech Document Classification.- An Approach to Tweets Categorization by Using Machine Learning Classifiers in Oil Business.- Speech Processing.- Long-Distance Continuous Space Language Modeling for Speech Recognition.- A Supervised Phrase Selection Strategy for Phonetically Balanced Standard Yoruba Corpus.- Semantic Role Labeling of Speech Transcripts.- Latent Topic Model Based Representations for a Robust Theme Identification of Highly Imperfect Automatic Transcriptions.- Probabilistic Approach for Detection of Vocal Pathologies in the Arabic Speech.- Applications.- Clustering Relevant Terms and Identifying Types of Statements in Clinical Records.- Medical Entities Tagging Using Distant Learning.- Identification of Original Document by Using Textual Similarities.- Kalema: Digitizing Arabic Content for Accessibility Purposes Using Crowdsourcing.- An Enhanced Technique for Offline Arabic Handwritten Words Segmentation.

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