Sentiment analysis has applications in diverse contexts such as in the gathering and
analysis of opinions of individuals about various products, issues, social, and political …

Sentiment Analysis is the most commonly used approach to analyze data which is in the
form of text and to identify sentiment content from the text. Opinion Mining is another name …

As the amount of content that is created on social media is constantly increasing, more and
more opinions and sentiments are expressed by people in various subjects. In this respect …

This article describes in-depth research on machine learning methods for sentiment analysis
of Czech social media. Whereas in English, Chinese, or Spanish this field has a long history …

This article provides an in-depth research of machine learning methods for sentiment
analysis of Czech social media. Whereas in English, Chinese, or Spanish this field has a …

In recent years, research in sentiment classification has received considerable attention by
natural language processing researchers. Annotated sentiment corpora are the most …

Brand reputation directly influences customer trust and decision-making. A good reputation
can lead to greater customer loyalty, commitment, and advocacy. This study aims to …

Sentiment analysis has been applied to the datasets collected from social networking
websites to get valuable insights. The exemplary growth of social networking has attracted …

This paper employed information retrieval and statistical techniques for producing
systematic literature review (SLR). Sentiment analysis (SA) and opinion mining (OM) in …

Tools for Interactive Machine Learning (IML) enable end users to update models in a “rapid,
focused, and incremental”—yet local—manner. In this work, we study the question of local …