opinion mining deals with an analysis of user reviews for extracting their opinions, sentiments and demands in a specific area, which can play an important role in making major decisions in such area. in general, opinion mining extracts user reviews at three levels of document, sentence and feature. opinion mining at the feature level is taken into consideration more than the other two levels d...

This paper explored the feasibility of detecting eye diseases on microblogs. A lexicon-based approach was developed to provide an early recognition common disease from social media platforms. The data were obtained using Twitter free streaming Application Programming Interface (API). cluster analysis applied extract instances that share similar characteristics. We extracted three types emotions...

The paper presents new lexicon of verb valencies for the Czech language named VerbaLex. VerbaLex is based on three valuable language resources for Czech, three independent electronic dictionaries of verb valency frames. The first resource, Czech WordNet valency frames dictionary, was created during the Balkanet project and contains semantic roles and links to the Czech WordNet semantic network....

Patients discuss complementary and alternative medicine (CAM) in online health communities. Sometimes, patients' conflicting opinions toward CAM-related issues trigger debates in the community. The objectives of this paper are to identify such debates, identify controversial CAM therapies in a popular online breast cancer community, as well as patients' stances towards them. To scale our analys...

In this paper, we propose a lexicon optimization method based on a confusability measure (CM) to develop a large vocabulary continuous speech recognition (LVCSR) system with unseen words. When a lexicon is built or expanded for unseen words by using grapheme-to-phoneme (G2P) conversion, the lexicon size increases since G2P is generally realized by 1-to-N-best mapping. Thus, the proposed method ...