Skip to main content
SpringerLink
Log in

Computational Linguistics and Intelligent Text Processing

18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part II

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Alexander Gelbukh

    1. CIC, Instituto Politécnico Nacional, Mexico City, Mexico

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10762)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: CICLing 2017.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (49 papers)

  1. Front Matter

    Pages I-XIX
    Download chapter PDF

  2. Sentiment Analysis

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Comparison Among Significance Tests and Other Feature Building Methods for Sentiment Analysis: A First Study

      • Raksha Sharma, Dibyendu Mondal, Pushpak Bhattacharyya
      Pages 3-19

    3. BATframe: An Unsupervised Approach for Domain-Sensitive Affect Detection

      • Kokil Jaidka, Niyati Chhaya, Rahul Wadbude, Sanket Kedia, Manikanta Nallagatla
      Pages 20-34

    4. Leveraging Target-Oriented Information for Stance Classification

      • Jiachen Du, Ruifeng Xu, Lin Gui, Xuan Wang
      Pages 35-45

    5. Sentiment Polarity Classification of Figurative Language: Exploring the Role of Irony-Aware and Multifaceted Affect Features

      • Delia Irazú Hernández Farías, Cristina Bosco, Viviana Patti, Paolo Rosso
      Pages 46-57

    6. Sarcasm Annotation and Detection in Tweets

      • Johan G. Cyrus M. Ræder, Björn Gambäck
      Pages 58-70

    7. Modeling the Impact of Modifiers on Emotional Statements

      • Valentina Sintsova, Margarita Bolívar Jiménez, Pearl Pu
      Pages 71-89

    8. CSenticNet: A Concept-Level Resource for Sentiment Analysis in Chinese Language

      • Haiyun Peng, Erik Cambria
      Pages 90-104

    9. Emotional Tone Detection in Arabic Tweets

      • Amr Al-Khatib, Samhaa R. El-Beltagy
      Pages 105-114

    10. Morphology Based Arabic Sentiment Analysis of Book Reviews

      • Omar El Ariss, Loai M. Alnemer
      Pages 115-128

    11. Adaptation of Sentiment Analysis Techniques to Persian Language

      • Kia Dashtipour, Amir Hussain, Alexander Gelbukh
      Pages 129-140

    12. Verb-Mediated Composition of Attitude Relations Comprising Reader and Writer Perspective

      • Manfred Klenner, Simon Clematide, Don Tuggener
      Pages 141-155

    13. Customer Churn Prediction Using Sentiment Analysis and Text Classification of VOC

      • Yiou Wang, Koji Satake, Takeshi Onishi, Hiroshi Masuichi
      Pages 156-165

    14. Benchmarking Multimodal Sentiment Analysis

      • Erik Cambria, Devamanyu Hazarika, Soujanya Poria, Amir Hussain, R. B. V. Subramanyam
      Pages 166-179

    15. Machine Learning Approaches for Speech Emotion Recognition: Classic and Novel Advances

      • Panikos Heracleous, Akio Ishikawa, Keiji Yasuda, Hiroyuki Kawashima, Fumiaki Sugaya, Masayuki Hashimoto
      Pages 180-191

  3. Opinion Mining

    1. Front Matter

      Pages 193-193
      Download chapter PDF

    2. Mining Aspect-Specific Opinions from Online Reviews Using a Latent Embedding Structured Topic Model

      • Mingyang Xu, Ruixin Yang, Paul Jones, Nagiza F. Samatova
      Pages 195-210

    3. A Comparative Study of Target-Based and Entity-Based Opinion Extraction

      • Joseph Lark, Emmanuel Morin, Sebastián Peña Saldarriaga
      Pages 211-223

    4. Supervised Domain Adaptation via Label Alignment for Opinion Expression Extraction

      • Yifan Zhang, Arjun Mukherjee, Fan Yang
      Pages 224-240
Back to top

Other volumes

  1. Computational Linguistics and Intelligent Text Processing

  2. Computational Linguistics and Intelligent Text Processing

Keywords

About this book

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. 

Editors and Affiliations

  • CIC, Instituto Politécnico Nacional, Mexico City, Mexico

    Alexander Gelbukh

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation