Sentiment classification concerns the use of automatic methods for predicting the orientation
of subjective content on text documents, with applications on a number of areas including …

Originating from Facebook, LinkedIn, Twitter, Instagram, YouTube, and many other
networking sites, the social media shared by users and the associated metadata are …

Finding opinionated blog posts is still an open problem in information retrieval, as
exemplified by the recent TREC blog tracks. Most of the current solutions involve the use of …

These days the technique of data fusion has been used extensively in many different
application areas and information retrieval is one of them. As early as 1980's, researchers …

Automated analysis of the sentiments presented in online consumer feedbacks can facilitate
both organizations' business strategy development and individual consumers' comparison …

Online Health Communities is a major source for patients and their family members in the
process of gathering information and seeking social support. The American Cancer Society …

Evidence-based medicine has recently received a large amount of attention in medical
research. To help clinical practices use evidence-based medicine, it should be easy to find …

We investigate the use of Semi-Supervised Learning (SSL) in opinion detection both in
sparse data situations and for domain adaptation. We show that co-training reaches the best …

Blog post opinion retrieval is the problem of identifying posts which express an opinion
about a particular topic. Usually the problem is solved using a 3 step process in which …

The rapid growth of opinionated text on the Web increases the demand for efficient methods
for detecting subjective texts. In this paper, a subjectivity detection method is proposed …