The rapid increase in obtainable online text data has made text categorization an important
tool for data analysts to extract relevant information on the web. However, incorrect or …

The field of low-resource sentiment analysis has seen significant developments in recent
years. This research review SLR evaluates the approaches and data sources utilized in low …

Music genre classification (MGC) is the process of putting genre labels on music by
analyzing the sounds or words. With the rapid growth of music data repositories, MGC can …

In recent years, supervised machine learning (ML) methods have realized remarkable
performance gains for sentiment classification utilizing labeled data. However, labeled data …

In today's digital world, automated sentiment analysis from online reviews can contribute to a
wide variety of decision-making processes. One example is examining typical perceptions of …

Sentiment analysis research in low-resource languages such as Bengali is still unexplored
due to the scarcity of annotated data and the lack of text processing tools. Therefore, in this …

This study explores feature-level sentiment analysis of Hindi blog reviews in enterprise
systems, a significant area in the Indian context yet understudied. By applying machine …

Sentiment analysis (SA) is the process of understanding emotion within a text. It helps
identify the opinion, attitude, and tone of a text categorizing it into positive, negative, or …

In the present world, we are not only the consumers of information but creators as well. The
virtual world of social media, which is considered a free open forum for discussion; provides …

The existing research on sentiment analysis mainly utilized data curated in limited
geographical regions and demography (eg, USA, UK, China) due to commercial interest and …