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TOTEMSS : topic-based, temporal sentiment summarisation for Twitter

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Wang, Bo, Liakata, Maria, Tsakalidis, Adam, Georgakopoulos, Agelos, Papadopoulos, Orestis, Apostolidis, Lazaros, Zubiaga, Arkaitz, Procter, Rob and Kompatsiaris, Yiannis (2017) TOTEMSS : topic-based, temporal sentiment summarisation for Twitter. In: International Joint Conference on Natural Language Processing, Taipei, Taiwan, 27 Nov - 01 Dec 2017. Published in: Proceedings of the IJCNLP 2017 pp. 21-24.

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Official URL: https://aclanthology.coli.uni-saarland.de/events/i...

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Abstract

We present a system for time-sensitive, topic-based summarisation of sentiment around target entities and topics in collections of tweets. We describe the main elements of the system and present two examples of sentiment analysis of topics related to the 2017 UK general election.

Item Type: Conference Item (Paper)
Subjects: H Social Sciences > HM Sociology
J Political Science > JN Political institutions (Europe) > JN101 Great Britain
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH): Twitter (Firm) -- Political aspects, Great Britain -- Politics and government -- 2007-
Journal or Publication Title: Proceedings of the IJCNLP 2017
Publisher: Association for Computational Linguistics
Official Date: 21 September 2017
Dates:
DateEvent
21 September 2017Accepted
Page Range: pp. 21-24
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 11 December 2017
Date of first compliant Open Access: 11 December 2017
Conference Paper Type: Paper
Title of Event: International Joint Conference on Natural Language Processing
Type of Event: Conference
Location of Event: Taipei, Taiwan
Date(s) of Event: 27 Nov - 01 Dec 2017
Related URLs:
  • Organisation
  • http://aclweb.org/anthology/I17-3006

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