Başlık:
Computational Linguistics and Intelligent Text Processing 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part II
Yazar:
Gelbukh, Alexander. editor.
ISBN:
9783319181172
Basım Bilgisi:
1st ed. 2015.
Fiziksel Tanımlama:
XXVIII, 688 p. 153 illus. online resource.
Seri:
Theoretical Computer Science and General Issues, 9042
İçerik:
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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Tüzel Kişi Ek Girişi:
Elektronik Erişim:
https://doi.org/10.1007/978-3-319-18117-2Kopya:
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