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This work focuses on automatically analyzing a speaker's sentiment in online videos containing movie reviews. In addition to textual information, this approach considers adding audio features as typically used in speech-based emotion recognition as well as video features encoding valuable valence information conveyed by the speaker. Experimental results(More)
Previously topic models such as PLSI (Prob-abilistic Latent Semantic Indexing) and LDA (Latent Dirichlet Allocation) were developed for modeling the contents of plain texts. Recently , topic models for processing hyper-texts such as web pages were also proposed. The proposed hypertext models are generative models giving rise to both words and hyper-links.(More)
This paper is concerned with mining link spams (e.g., link farm and link exchange) from search engine optimization (SEO) forums. To provide quality services, it is critical for search engines to address web spam. Several techniques such as TrustRank, BadRank, and SpamRank have been proposed for this purpose. Most of these methods try to downgrade the(More)
In this work we study the effectiveness of speaker adaptation for dialogue act recognition in multiparty meetings. First, we analyze idiosyncracy in dialogue verbal acts by qualitatively studying the differences and conflicts among speakers and by quantitively comparing speaker-specific models. Based on these observations, we propose a new approach for(More)
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