Automatic detection of political opinions in tweets

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Conference paper (help)
Automatic detection of political opinions in tweets
Authors: Diana Maynard, Adam Funk
Citation: Proceedings of the ESWC2011 Workshop on 'Making Sense of Microposts': Big things come in small packages 718 in CEUR Workshop Proceedings : 2011 May
Editors: Matthew Rowe, Milan Stankovic, Aba-Sah Dadzie, Mariann Hardey
Publisher: Define publisher
Meeting: Making Sense of Microposts
DOI: Define doi.
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Restricted: DTU Digital Library
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Automatic detection of political opinions in tweets describes text mining on Twitter in connection with political opinions using sentiment analysis.

[edit] Data

1'000 tweets were collected during the pre-election period in United Kingdom. This was a corpus by Matthew Rowe.

[edit] Method

GATE was used for opinion mining. The created triples in the form of <Person, Opinion, Political party>. They applied ANNIE for named entity recognition. The Java-based pattern matching language JAPE was used as the main body of the opinion mining.

[edit] Related papers

  1. Networks and language in the 2010 election
  2. The pragmatics of political messages in Twitter communication
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