Deciphering consumers' sentiment expressions from big data (eg, online reviews) has
become a managerial priority to monitor product and service evaluations. However …

Due to the rapid development of Internet technologies and social media, sentiment analysis
has become an important opinion mining technique. Recent research work has described …

With the rapid increase in social networks and blogs, the social media services are
increasingly being used by online communities to share their views and experiences about …

Sentiment analysis helps evaluating the performance of products or services from user
generated contents. Lexicon based sentiment analysis approaches are preferred over …

The exponential rise in social media via microblogging sites like Twitter has sparked
curiosity in sentiment analysis that exploits user feedback towards a targeted product or …

In this paper, we present a comparative study of text sentiment classification models using
term frequency inverse document frequency vectorization in both supervised machine …

The online information explosion has created great challenges and opportunities for both
information producers and consumers. Understanding customer's feelings, perceptions and …

In this paper, an intelligent approach is presented to measure customers' loyalty to a specific
product and assist new customers regarding a product's key features. Our approach uses an …

Internet is the global system which is increasing day by day with a faster rate. With the
increasing internet, social networking increases and people started to share information …

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 …