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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)
In this contribution we focus on the task of automatically analyzing a speaker’s sentiment in on-line videos containing movie reviews. In addition to textual information, we consider adding audio features as typically used in speech-based emotion recognition as well as video features encoding valuable valence information conveyed by the speaker. We combine(More)
Previously topic models such as PLSI (Probabilistic Latent Semantic Indexing) and LDA (Latent Dirichlet Allocation) were developed for modeling the contents of plain texts. Recently, topic models for processing hypertexts such as web pages were also proposed. The proposed hypertext models are generative models giving rise to both words and hyperlinks. This(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)
In the k-median and facility location problems, we are given two sets: F , the set of facilities and C, the set of clients. There is a specified distance cij ≥ 0 (forming a metric) between every pair i, j ∈ F ∪C. The goal is to identify a subset of facilities S ⊆ F and to serve the clients in C by the facilities in S, such that the cost function is(More)
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