---
_id: '46373'
abstract:
- lang: eng
  text: 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.
author:
- first_name: Andrey
  full_name: Chinnov, Andrey
  last_name: Chinnov
- first_name: Pascal
  full_name: Kerschke, Pascal
  last_name: Kerschke
- first_name: Christian
  full_name: Meske, Christian
  last_name: Meske
- first_name: Stefan
  full_name: Stieglitz, Stefan
  last_name: Stieglitz
- first_name: Heike
  full_name: Trautmann, Heike
  id: '100740'
  last_name: Trautmann
  orcid: 0000-0002-9788-8282
citation:
  ama: 'Chinnov A, Kerschke P, Meske C, Stieglitz S, Trautmann H. An Overview of Topic
    Discovery in Twitter Communication through Social Media Analytics. In: <i>Proceedings
    of the 20$^th$ Americas Conference on Information Systems (AMCIS ’15)</i>. ; 2015:1–10.'
  apa: Chinnov, A., Kerschke, P., Meske, C., Stieglitz, S., &#38; Trautmann, H. (2015).
    An Overview of Topic Discovery in Twitter Communication through Social Media Analytics.
    <i>Proceedings of the 20$^th$ Americas Conference on Information Systems (AMCIS
    ’15)</i>, 1–10.
  bibtex: '@inproceedings{Chinnov_Kerschke_Meske_Stieglitz_Trautmann_2015, place={Puerto
    Rico}, title={An Overview of Topic Discovery in Twitter Communication through
    Social Media Analytics}, booktitle={Proceedings of the 20$^th$ Americas Conference
    on Information Systems (AMCIS ’15)}, author={Chinnov, Andrey and Kerschke, Pascal
    and Meske, Christian and Stieglitz, Stefan and Trautmann, Heike}, year={2015},
    pages={1–10} }'
  chicago: Chinnov, Andrey, Pascal Kerschke, Christian Meske, Stefan Stieglitz, and
    Heike Trautmann. “An Overview of Topic Discovery in Twitter Communication through
    Social Media Analytics.” In <i>Proceedings of the 20$^th$ Americas Conference
    on Information Systems (AMCIS ’15)</i>, 1–10. Puerto Rico, 2015.
  ieee: A. Chinnov, P. Kerschke, C. Meske, S. Stieglitz, and H. Trautmann, “An Overview
    of Topic Discovery in Twitter Communication through Social Media Analytics,” in
    <i>Proceedings of the 20$^th$ Americas Conference on Information Systems (AMCIS
    ’15)</i>, 2015, pp. 1–10.
  mla: Chinnov, Andrey, et al. “An Overview of Topic Discovery in Twitter Communication
    through Social Media Analytics.” <i>Proceedings of the 20$^th$ Americas Conference
    on Information Systems (AMCIS ’15)</i>, 2015, pp. 1–10.
  short: 'A. Chinnov, P. Kerschke, C. Meske, S. Stieglitz, H. Trautmann, in: Proceedings
    of the 20$^th$ Americas Conference on Information Systems (AMCIS ’15), Puerto
    Rico, 2015, pp. 1–10.'
date_created: 2023-08-04T15:20:52Z
date_updated: 2023-10-16T13:41:00Z
department:
- _id: '34'
- _id: '819'
language:
- iso: eng
page: 1–10
place: Puerto Rico
publication: Proceedings of the 20$^th$ Americas Conference on Information Systems
  (AMCIS ’15)
publication_identifier:
  isbn:
  - 978-0-9966831-0-4
status: public
title: An Overview of Topic Discovery in Twitter Communication through Social Media
  Analytics
type: conference
user_id: '15504'
year: '2015'
...