• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Exploiting social media for natural language processing: Bridging the gap between language-centric and real-world applications
 
  • Details
  • Full
Options
2013
Conference Paper
Title

Exploiting social media for natural language processing: Bridging the gap between language-centric and real-world applications

Abstract
Social media like Twitter and micro-blogs provide a goldmine of text, shallow markup annotations and network structure. These information sources can all be exploited together in order to automatically acquire vast amounts of up-to-date, wide-coverage structured knowledge. This knowledge, in turn, can be used to measure the pulse of a variety of social phenomena like political events, activism and stock prices, as well as to detect emerging events such as natural disasters (earthquakes, tsunami, etc.). The main purpose of this tutorial is to introduce social media as a resource to the Natural Language Processing (NLP) community both from a scientific and an application-oriented perspective. To this end, we focus on micro-blogs such as Twitter, and show how it can be successfully mined to perform complex NLP tasks such as the identification of events, topics and trends. Furthermore, this information can be used to build high-end socially intelligent applications that tap the wisdom of the crowd on a large scale, thus successfully bridging the gap between computational text analysis and real-world, mission-critical applications such as financial forecasting and natural crisis management.
Author(s)
Ponzetto, S.P.
Zielinski, Andrea  orcid-logo
Mainwork
51st Annual Meeting of the Association for Computational Linguistics, ACL 2013. Proceedings of the Conference Tutorial Abstracts  
Conference
Association for Computational Linguistics (ACL Annual Meeting) 2013  
File(s)
Download (69 KB)
Rights
Use according to copyright law
DOI
10.24406/publica-fhg-382256
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024