Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …

In the last few years thousands of scientific papers have investigated sentiment analysis,
several startups that measure opinions on real data have emerged and a number of …

Sentiment analysis (SA) is the automated process of detecting and understanding the
emotions conveyed through written text. Over the past decade, SA has gained significant …

Sentiment analysis is one of the fastest growing research areas in computer science, making
it challenging to keep track of all the activities in the area. We present a computer-assisted …

With the increasing development of Web 2.0, such as social media and online businesses,
the need for perception of opinions, attitudes, and emotions grows rapidly. Sentiment …

The ever-increasing number of Internet users and online services, such as Amazon, Twitter
and Facebook has rapidly motivated people to not just transact using the Internet but to also …

Sentiment analysis is a critical subfield of natural language processing that focuses on
categorizing text into three primary sentiments: positive, negative, and neutral. With the …

Sentiment Analysis is probably one of the best-known area in text mining. However, in
recent years, as big data rose in popularity more areas of text classification are being …

Sentiment analysis is an increasingly evolving field of research in computer science. With
the considerable number of studies on innovative sentiment analysis available, it is worth …

Cross-lingual sentiment analysis (CLSA) leverages one or several source languages to help
the low-resource languages to perform sentiment analysis. Therefore, the problem of lack of …