Building a model using machine learning that can classify the sentiment of natural language text often requires an extensive set of labeled training data from the same domain as t...
In recent years, we have witnessed the blooming of Web 2.0 content such as Wikipedia, Flickr and YouTube, etc. How might we benefit from such rich media resources available on the...
Deriving the polarity and strength of opinions is an important research topic, attracting significant attention over the last few years. In this work, to measure the strength and...
Anindya Ghose, Panagiotis G. Ipeirotis, Arun Sunda...
This paper describes a knowledge-based methodologyof miningtextual answersinto large collections of texts. Wepresent SOMBRERO,a knowledge processing module implemented in the LASS...
Frequent disjunctive pattern is known to be a sophisticated method of text mining in a single document that satisfies anti-monotonicity, by which we can discuss efficient algorith...