Opinion mining is one of the most challenging tasks of the field of information retrieval.
Research community has been publishing a number of articles on this topic but a significant …

Sentiment extraction from online web documents has recently been an active research topic
due to its potential use in commercial applications. By sentiment analysis, we refer to the …

Online content providers, such as news portals and social media platforms, constantly seek
new ways to attract large shares of online attention by kee** their users engaged. A …

While a number of isolated studies have analysed how different sentence features are
beneficial in Sentiment Analysis, a complete picture of their effectiveness is still lacking. In …

Opinion retrieval deals with finding relevant documents that express either a negative or
positive opinion about some topic. Social Networks such as Twitter, where people routinely …

We consider the problem of finding opinionated tweets about a given topic. We automatically
construct opinionated lexica from sets of tweets matching specific patterns indicative of …

Sentiments and opinions expressed in Web pages towards objects, entities, and products
constitute an important portion of the textual content available in the Web. In the last decade …

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 …

In this paper, we examine the performance of several classifiers in the process of searching
for very negative opinions. More precisely, we do an empirical study that analyzes the …

Sentiment analysis tools often rely on counts of sentiment-carrying words, ignoring structural
aspects of content. Natural Language Processing has been fruitfully exploited in text mining …