Should I Care about Your Opinion? : Detection of Opinion Interestingness and Dynamics in Social Media

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Maynard, Diana; Gossen, Gerhard; Funk, Adam; Fisichella, Marco: Should I Care about Your Opinion? : Detection of Opinion Interestingness and Dynamics in Social Media. In: Future Internet 6 (2014), Nr. 3, S. 457-481. DOI: https://doi.org/10.3390/fi6030457

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1594

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Sum total of downloads: 441




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Abstract: 
In this paper, we describe a set of reusable text processing components for extracting opinionated information from social media, rating it for interestingness, and for detecting opinion events. We have developed applications in GATE to extract named entities, terms and events and to detect opinions about them, which are then used as the starting point for opinion event detection. The opinions are then aggregated over larger sections of text, to give some overall sentiment about topics and documents, and also some degree of information about interestingness based on opinion diversity. We go beyond traditional opinion mining techniques in a number of ways: by focusing on specific opinion-target extraction related to key terms and events, by examining and dealing with a number of specific linguistic phenomena, by analysing and visualising opinion dynamics over time, and by aggregating the opinions in different ways for a more flexible view of the information contained in the documents.
License of this version: CC BY-NC-SA 3.0 Unported
Document Type: article
Publishing status: publishedVersion
Issue Date: 2014
Appears in Collections:Forschungszentren

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 359 81.41%
2 image of flag of United States United States 42 9.52%
3 image of flag of Algeria Algeria 10 2.27%
4 image of flag of No geo information available No geo information available 3 0.68%
5 image of flag of France France 3 0.68%
6 image of flag of China China 3 0.68%
7 image of flag of Russian Federation Russian Federation 2 0.45%
8 image of flag of Guatemala Guatemala 2 0.45%
9 image of flag of United Kingdom United Kingdom 2 0.45%
10 image of flag of Czech Republic Czech Republic 2 0.45%
    other countries 13 2.95%

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