Abstract: Rapid increase in internet users along with growing power of online review sites
and social media has given birth to Sentiment analysis or Opinion mining, which aims at …

ABSTRACT Automatic Text Classification is a semi-supervised machine learning task that
automatically assigns a given document to a set of pre-defined categories based on its …

Opinion mining is an interesting area of research because of its applications in various
fields. Collecting opinions of people about products and about social and political events …

Document-level multi-aspect sentiment classification is an important task for customer
relation management. In this paper, we model the task as a machine comprehension …

Social media constitutes a major component of Web 2.0 and includes social networks, blogs,
forum discussions, micro-blogs, etc. Users of social media generate a huge volume of …

In a world of ever-growing customer data, businesses are required to have a clear line of
sight into what their customers think about the business, its products, people and how it …

The leading intention of the current paper is to review the research work accomplished by
various researchers to achieve sentiment analysis on the text and to elaborate on natural …

The purpose of this paper is to show how opinion mining may offer an alternative way to
improve course evaluation using students' attitudes posted on Internet forums, discussion …

This research paper combines the data mining with natural language processing to extract
the nuggets of knowledge from massive volume of student feedback dataset on faculty …

The term Text Mining, which is given to the set of techniques used for the extraction,
cleaning and processing of the information in texts, has become useful to provide valuable …