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Extracting Opinion Targets from Environmental Web Coverage and Social Media Streams

Weichselbraun, Albert and Scharl, Arno and Gindl, Stefan (2016) Extracting Opinion Targets from Environmental Web Coverage and Social Media Streams. In: 49th Hawaii International Conference on System Sciences (HICSS-2016), Kauai, USA.

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Abstract

Policy makers and environmental organizations have a keen interest in awareness building and the evolution of stakeholder opinions on environmental issues. Mere polarity detection, as provided by many existing methods, does not suffice to understand the emergence of collective awareness. Methods for extracting affective knowledge should be able to pinpoint opinion targets within a thread. Opinion target extraction provides a more accurate and fine-grained identification of opinions expressed in online media. This paper compares two different approaches for identifying potential opinion targets and applies them to comments from the YouTube video sharing platform. The first approach is based on statistical keyword analysis in conjunction with sentiment classification on the sentence level. The second approach uses dependency parsing to pinpoint the target of an opinionated term. A case study based on YouTube postings applies the developed methods and measures their ability to handle noisy input data from social media streams.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA76 Computer software
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
ID Code:91
Deposited By: Prof Dr Arno Scharl
Deposited On:27 May 2016 13:00
Last Modified:27 May 2016 13:00

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