rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Computational Linguistics and Intelligent Text Processing
    sub title: 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part II
  name:
    name part: Gelbukh, Alexander.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXVIII, 688 p. 153 illus. online resource.
  abstract: 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.
  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-s…
  note: edited by Alexander Gelbukh.
  subject:
    topic: Computer science
  subject:
    topic: Data mining
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Artificial intelligence
  subject:
    topic: Text processing (Computer science)
  subject:
    topic: Computational linguistics
  subject:
    topic: Computer Science
  subject:
    topic: Language Translation and Linguistics
  subject:
    topic: Computational Linguistics
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Document Preparation and Text Processing
  subject:
    topic: Data Mining and Knowledge Discovery
  classification: P98-98.5
  classification: 006.35
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 9042
  identifier: 9783319181172
  identifier: http://dx.doi.org/10.1007/978-3-319-18117-2
  record info:
    record creation date: 150409
    record change date: 20151204165204.0
    record identifier: 978-3-319-18117-2