---
res:
  bibo_abstract:
  - The need for automatic methods of topic discovery in the Internet grows exponentially
    with the amount of available textual information. Nowadays it becomes impossible
    to manually read even a small part of the information in order to reveal the underlying
    topics. Social media provide us with a great pool of user generated content, where
    topic discovery may be extremely useful for businesses, politicians, researchers,
    and other stakeholders. However, conventional topic discovery methods, which are
    widely used in large text corpora, face several challenges when they are applied
    in social media and particularly in Twitter – the most popular microblogging platform.
    To the best of our knowledge no comprehensive overview of these challenges and
    of the methods dedicated to address these challenges does exist in IS literature
    until now. Therefore, this paper provides an overview of these challenges, matching
    methods and their expected usefulness for social media analytics.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Andrey
      foaf_name: Chinnov, Andrey
      foaf_surname: Chinnov
  - foaf_Person:
      foaf_givenName: Pascal
      foaf_name: Kerschke, Pascal
      foaf_surname: Kerschke
  - foaf_Person:
      foaf_givenName: Christian
      foaf_name: Meske, Christian
      foaf_surname: Meske
  - foaf_Person:
      foaf_givenName: Stefan
      foaf_name: Stieglitz, Stefan
      foaf_surname: Stieglitz
  - foaf_Person:
      foaf_givenName: Heike
      foaf_name: Trautmann, Heike
      foaf_surname: Trautmann
      foaf_workInfoHomepage: http://www.librecat.org/personId=100740
    orcid: 0000-0002-9788-8282
  dct_date: 2015^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/978-0-9966831-0-4
  dct_language: eng
  dct_title: An Overview of Topic Discovery in Twitter Communication through Social
    Media Analytics@
...