With the dramatic increase in the massive amount of data on e-commercial sites, it becomes
difficult to analyze the sentiment manually. Sentiment analysis automatically analyzes the …

Sentiment analysis can be considered a major application of machine learning, more
particularly natural language processing (NLP). As there are varieties of applications …

Limitless amount of data is loaded in every moment in social media platforms in the forms of
audio, videos, texts, and photos. They are rich sources of information, which has immense …

The growth of the web results with a wider increase in online communications. These online
communications include reviews, comments and feedbacks that are posted online by the …

In recent years, internet strengthened itself as an influential platform that has changed the
methods of business and communication. Sentiment Analysis (SA) become active research …

Sentiment analysis is a useful tool for social media and customer analysis allowing one to
glean a summary of the views of a large population regarding a particular topic. This work …

Due to evolution in every sector around us, a large amount of information is generated at
every moment. In recent years, many microblogging platforms have become the primary …

Sentiment analysis has vital applications in several areas, together with selling,
recommendation, and financial analysis. It is considered as a process to find the polarity of …

In this new world of social media, the trend of sharing views or opinions on several web
portals such as blogs, Instagram pages, Facebook pages, Twitter, YouTube is becoming so …

Social media is a wide source of sharing user's opinions on different areas. These opinions
are known as sentiments. Social media is an application of research for sentiment analysis …