Opinion Mining on YouTube
نویسندگان
چکیده
This paper defines a systematic approach to Opinion Mining (OM) on YouTube comments by (i) modeling classifiers for predicting the opinion polarity and the type of comment and (ii) proposing robust shallow syntactic structures for improving model adaptability. We rely on the tree kernel technology to automatically extract and learn features with better generalization power than bag-of-words. An extensive empirical evaluation on our manually annotated YouTube comments corpus shows a high classification accuracy and highlights the benefits of structural models in a cross-domain setting.
منابع مشابه
Multi-lingual opinion mining on YouTube
In order to successfully apply opinion mining (OM) to the large amounts of usergenerated content produced every day, we need robust models that can handle the noisy input well yet can easily be adapted to a new domain or language. We here focus on Opinion Mining for YouTube by (i) modeling classifiers that predict the type of a comment and its polarity, while distinguishing whether the polarity...
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