In recent years, sentiment analysis has been aware within software engineering domain.
While automated sentiment analysis has long been suffering from doubt of accuracy, the tool …

Researchers have shown that sentiment analysis of software artifacts can potentially
improve various software engineering tools, including API and library recommendation …

In last few years, researchers' interest in sentiment analysis in the software engineering
domain has risen significantly. Most of the studies show the use of standard sentiment …

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 using social network platforms such as twitter has achieved tremendous
results. However, due to its imbalanced data content and semantic context, it remains a …

Microblogging websites like Twitter and Facebook, in this new era, is loaded with opinions
and data. One of the most widely used micro-blogging site, Twitter, is where people share …

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

Sentiment analysis, a popular technique for opinion mining, has been used by the software
engineering research community for tasks such as assessing app reviews, developer …

Sentiment analysis is one of the fastest growing research areas in natural language
processing (NLP), making it challenging to keep track of all the activities. In a present day …

Sentiment analysis refers to the active field of Natural language processing that extracts the
attitude and emotion of a human being. With the growth of social media, more people are …