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: 18th International Conference, CICLing 2017, Budapest, Hungary, April 17-23, 2017, Revised Selected Papers, Part II
  name:
    name part: Gelbukh, Alexander.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIX, 670 p. 139 illus. online resource.
  abstract: The two-volume set LNCS 10761 + 10762 constitutes revised selected papers from the CICLing 2017 conference which took place in Budapest, Hungary, in April 2017. The total of 90 papers presented in the two volumes was carefully reviewed and selected from numerous submissions. In addition, the proceedings contain 4 invited papers. The papers are organized in the following topical sections: Part I: general; morphology and text segmentation; syntax and parsing; word sense disambiguation; reference and coreference resolution; named entity recognition; semantics and text similarity; information extraction; speech recognition; applications to linguistics and the humanities. Part II: sentiment analysis; opinion mining; author profiling and authorship attribution; social network analysis; machine translation; text summarization; information retrieval and text classification; practical applications. .
  table of contents: Sentiment Analysis -- A Comparison among Significance Tests and Other Feature Building Methods for Sentiment Analysis: A First Study -- BATframe: An Unsupervised Approach for Domain-sensitive Affect Detection -- Leveraging Target-oriented Information for Stance Classification -- Sentiment Polarity Classification of Figurative Language: Exploring the Role of Irony-Aware and Multifaceted Affect Features -- Sarcasm Annotation and Detection in Tweets -- Modeling the Impact of Modifiers on Emotional Statements -- CSenticNet: A Concept-Level Resource for Sentiment Analysis in Chinese Language -- Emotional Tone Detection in Arabic Tweets -- Morphology based Arabic Sentiment Analysis of Book Reviews -- Adaptation of Sentiment Analysis Techniques to Persian Language -- Verb-mediated Composition of Attitude Relations Comprising Reader and Writer Perspective -- Customer Churn Prediction using Sentiment Analysis and Text Classification of VOC.-Benchmarking Multimodal Sentiment Analysis -- Machine learning approaches for speech emotion recognition: Classic and novel advances -- Opinion Mining -- Mining Aspect-Specific Opinions from Online Reviews Using a Latent Embedding Structured Topic Model -- A comparative study of target-based and entity-based opinion extraction -- Supervised Domain Adaptation via Label Alignment for Opinion Expression Extraction -- Comment relevance classification in Facebook -- Detecting Sockpuppets in Deceptive Opinion Spam -- Author Profiling and Authorship Attribution -- Reading the Author and Speaker: Towards a Holistic and Deep Approach on Automatic Assessment of What is in One's Words -- Improving Cross-Topic Authorship Attribution: The Role of Pre-Processing -- Author Identification using Latent Dirichlet Allocation -- Personality Recognition using Convolutional Neural Networks -- Character-Level Dialect Identi_cation in Arabic Using Long Short-Term Memory -- A Text Semantic Similarity Approach for Arabic Paraphrase Detection -- Social Network Anal…
  note: edited by Alexander Gelbukh.
  subject:
    topic: Natural language processing (Computer science)
  subject:
    topic: Artificial intelligence
  subject:
    topic: Data mining
  subject:
    topic: Application software
  subject:
    topic: Computational linguistics
  subject:
    topic: Natural Language Processing (NLP)
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Natural Language Processing (NLP)
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Computational Linguistics
  classification: QA76.9.N38
  classification: 006.35
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Theoretical Computer Science and General Issues ; 10762
  identifier: 9783319771168
  identifier: https://doi.org/10.1007/978-3-319-77116-8
  record info:
    record creation date: 181009
    record change date: 20191220125826.0
    record identifier: 978-3-319-77116-8