Sentiment classification is one of the important tasks in text mining, which is to classify
documents according to their opinion or sentiment. Documents in sentiment classification …

Text based social media has become one of important communication tools between
customers and enterprises. In social media, users can easily express their opinions and …

The feature selection (FS) has been the latest challenge in the area of sentiment
classification. The filter-and wrapper-based feature selection methods are applied in the …

Sentiment analysis is to extract the opinion of the user from of the text documents. Sentiment
classification using machine learning methods face problem of handling huge number of …

Selecting and extracting feature is a vital step in sentiment analysis. The statistical
techniques of feature selection like document frequency thresholding produce sub-optimal …

This paper presents a Hybrid Feature Selection Technique for Sentiment Classification. We
have used a Genetic Algorithm and a combination of existing Feature Selection methods …

In recent years, sentiment analysis is becoming more and more important as the number of
digital text resources increases in parallel with the development of information technology …

Sentiment classification is an important branch of cognitive computation—thus the further
studies of properties of sentiment analysis is important. Sentiment classification on text data …

Sentiment classification or sentiment analysis has been acknowledged as an open research
domain. In recent years, an enormous research work is being performed in these fields by …

(1) Background: Feature selection is the biggest challenge in feature-rich sentiment analysis
to select the best (relevant) feature set, offer information about the relationships between …