000726569 000__ 06996cam\a2200529Ii\4500 000726569 001__ 726569 000726569 005__ 20230306140828.0 000726569 006__ m\\\\\o\\d\\\\\\\\ 000726569 007__ cr\cn\nnnunnun 000726569 008__ 150416s2015\\\\sz\a\\\\o\\\\\101\0\eng\d 000726569 020__ $$a9783319181172$$qelectronic book 000726569 020__ $$a3319181173$$qelectronic book 000726569 020__ $$z9783319181165 000726569 0247_ $$a10.1007/978-3-319-18117-2$$2doi 000726569 035__ $$aSP(OCoLC)ocn907469952 000726569 035__ $$aSP(OCoLC)907469952 000726569 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDXCP$$dUPM$$dUWO$$dVLB 000726569 049__ $$aISEA 000726569 050_4 $$aQA76.9.T48$$bC53 2015eb 000726569 08204 $$a005.7$$223 000726569 1112_ $$aCICLing (Conference)$$n(16th :$$d2015 :$$cCairo, Egypt) 000726569 24510 $$aComputational linguistics and intelligent text processing$$h[electronic resource] :$$b16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings.$$nPart II /$$cAlexander Gelbukh (ed.). 000726569 2463_ $$aCICLing 2015 000726569 264_1 $$aCham :$$bSpringer,$$c2015. 000726569 300__ $$a1 online resource (xxviii, 686 pages) :$$billustrations. 000726569 336__ $$atext$$btxt$$2rdacontent 000726569 337__ $$acomputer$$bc$$2rdamedia 000726569 338__ $$aonline resource$$bcr$$2rdacarrier 000726569 4901_ $$aLecture Notes in Computer Science,$$x0302-9743 ;$$v9042 000726569 4901_ $$aLNCS sublibrary. SL 1, Theoretical computer science and general issues 000726569 500__ $$aInternational conference proceedings. 000726569 500__ $$aIncludes author index. 000726569 5050_ $$aSentiment 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{u2019} 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{u2019} 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 Approach for 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. 000726569 506__ $$aAccess limited to authorized users. 000726569 520__ $$aThe 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. 000726569 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 16, 2015). 000726569 650_0 $$aText processing (Computer science)$$vCongresses. 000726569 650_0 $$aComputational linguistics$$vCongresses. 000726569 650_0 $$aDiscourse analysis$$xData processing$$vCongresses. 000726569 650_0 $$aInformation storage and retrieval systems$$vCongresses. 000726569 7001_ $$aGelbukh, Alexander,$$d1962-$$eeditor. 000726569 830_0 $$aLecture notes in computer science ;$$v9042. 000726569 830_0 $$aLNCS sublibrary.$$nSL 1,$$pTheoretical computer science and general issues. 000726569 852__ $$bebk 000726569 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-18117-2$$zOnline Access$$91397441.1 000726569 909CO $$ooai:library.usi.edu:726569$$pGLOBAL_SET 000726569 980__ $$aEBOOK 000726569 980__ $$aBIB 000726569 982__ $$aEbook 000726569 983__ $$aOnline 000726569 994__ $$a92$$bISE