An extracting model for constructing actions with improved part-of-speech tagging from social networking texts

Yassine Jamoussi, Ameni Youssfi Nouira

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The recent viral growth of social network systems such as Twitter, Facebook and MySpace have created many interesting and challenging problems to the research community, which enable to perform context aware-reasoning. Social networking is a set of social actors (individuals or organizations) that are connected to provide a set of interaction. We consider, in this paper, the problem of information extraction from social networking specially Twitter and Facebook. To extract text from social networking, we need several lexical features and large scale word clustering. We attempt to expand existing tokenizer and to develop our own tagger in order to support the incorrect words currently in existence in Facebook and Twitter. Our goal in this work is to benefit of the lexical features developed for Twitter and online conversational text in previous works, and to develop an extraction model for constructing a huge knowledge based on actions.

Original languageEnglish
Title of host publicationProceedings of 2017 11th International Conference on Intelligent Systems and Control, ISCO 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages77-81
Number of pages5
ISBN (Electronic)9781509027170
DOIs
Publication statusPublished - Feb 14 2017
Event2017 11th International Conference on Intelligent Systems and Control, ISCO 2017 - Coimbatore, India
Duration: Jan 5 2017Jan 6 2017

Other

Other2017 11th International Conference on Intelligent Systems and Control, ISCO 2017
CountryIndia
CityCoimbatore
Period1/5/171/6/17

Keywords

  • information extraction
  • natural language processing
  • part-of-speech tagging
  • social networking

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering
  • Artificial Intelligence
  • Control and Optimization

Fingerprint Dive into the research topics of 'An extracting model for constructing actions with improved part-of-speech tagging from social networking texts'. Together they form a unique fingerprint.

  • Cite this

    Jamoussi, Y., & Nouira, A. Y. (2017). An extracting model for constructing actions with improved part-of-speech tagging from social networking texts. In Proceedings of 2017 11th International Conference on Intelligent Systems and Control, ISCO 2017 (pp. 77-81). [7855957] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCO.2017.7855957