Using a probabilistic approach for exploring latent patterns in high-dimensional co-
occurrence data, topic models offer researchers a flexible and open framework for soft …

Now a day's internet is the most valuable source of learning, getting ideas, reviews for a
product or a service. Everyday millions of reviews are generated in the internet about a …

The field of sentiment analysis, in which sentiment is gathered, analyzed, and aggregated
from text, has seen a lot of attention in the last few years. The corresponding growth of the …

The goal of this research is to build a model to predict stock price movement using the
sentiment from social media. Unlike previous approaches where the overall moods or …

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions,
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …

Sentiment analysis is the computational study of people's opinions, sentiments, emotions,
moods, and attitudes. This fascinating problem offers numerous research challenges, but …

The goal of this research is to build a model to predict stock price movement using
sentiments on social media. A new feature which captures topics and their sentiments …

Most online reviews consist of plain-text feedback together with a single numeric score.
However, understanding the multipleaspects' that contribute to users' ratings may help us to …

Fine-grained sentiment analysis for online reviews plays more and more important role in
many applications. The key techniques here are how to efficiently extract multi-grained …

There is a rich variety of data sets for sentiment analysis (viz., polarity and subjectivity
classification). For the more challenging task of detecting discrete emotions following the …