There are a lot of linguistic knowledge and sentiment resources nowadays, but in the current
research with deep learning framework, these kinds of unique sentiment information are not …

Our day-to-day life has always been influenced by what people think. Ideas and opinions of
others have always affected our own opinions. The explosion of Web 2.0 has led to …

With rapid development of Web 2.0 applications such as microbloging, social networks, e-
commerce sites, news portals and web-forums reviews, comments, recommendations …

We propose a lightweight method for using discourse relations for polarity detection of
tweets. This method is targeted towards the web-based applications that deal with noisy …

Sentiment analysis and Opinion mining has emerged as a popular and efficient technique
for information retrieval and web data analysis. The exponential growth of the user …

Everyday many users purchases product, book travel tickets, buy goods and services
through web. Users also share their views about product, hotel, news, and topic on web in …

Information is exploding on the web at exponential pace, and online movie review over the
web is a substantial source of information for online users. However, users write millions of …

The problem of extracting sentiments from text is a very complex task, in particular due to the
significant amount of Natural Language Processing (NLP) required. This task becomes even …

In this paper, we present TwiSent, a sentiment analysis system for Twitter. Based on the
topic searched, TwiSent collects tweets pertaining to it and categorizes them into the …

As a new form of social media, microblogging provides platform sharing, wherein users can
share their feelings and ideas on certain topics. Bursty topics from microblogs are the results …