Choudhury, Smitashree and Breslin, John G.
User sentiment detection: a YouTube use case.
In: The 21st National Conference on Artificial Intelligence and Cognitive Science, 30 August - 1 September 2010, Galway, Ireland.
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In this paper we propose an unsupervised lexicon-based approach to detect the sentiment polarity of user comments in YouTube. Polarity detection in social media content is challenging not only because of the existing limitations in current sentiment dictionaries but also due to the informal linguistic styles used by users. Present dictionaries fail to capture the sentiments of community-created terms. To address the challenge we adopted a data-driven approach and prepared a social media specific list of terms and phrases expressing user sentiments and opinions. Experimental evaluation shows the combinatorial approach has greater potential. Finally, we discuss many research challenges involving social media sentiment analysis.
|External Project Funding Details:
|Funded Project Name||Project ID||Funding Body|
|Not Set||Not Set||Science Foundation Ireland under grant number SFI/08/CE/I1380 (Líon 2)|
||Knowledge Media Institute
||07 Feb 2012 17:27
||26 Oct 2012 16:30
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