Sentiment analysis, a branch of natural language processing (NLP), has gained significant
attention for its applications in various domains. This study focuses on utilizing machine …

Sentiment analysis is an important study topic with diverse application domains including
social network monitoring and automatic analysis of the body of natural language …

Sentiment analysis categorizes human opinions, emotions and reactions extracted from text
into positive or negative polarity. However, mining sentiments from the Arabic text is …

The research on sentiment analysis has shown a great deal of utility in the field of public
health, specifically in the investigation of infectious illnesses. As the world begins to …

Sentiment analysis is the process of analyzing people's opinion and feelings toward
individual, entities, issues, items or topics. Within the last couple of years, this field has …

In recent times, sentiment analysis research has achieved tremendous impetus on English
textual data, however, a very less amount of research has been focused on Nepali textual …

Sentiment analysis refers to the task of identifying polarity of positive and negative for
particular text that yield an opinion. Arabic language has been expanded dramatically in the …

Sentiment analysis plays a crucial role in extracting subjective information from various
sources using natural language processing techniques. It involves identifying opinions …

Sentiment analysis has recently become one of the growing areas of research related to
natural language processing and machine learning. Much opinion and sentiment about …

We describe the sentiment analysis experiments that were performed on the Lithuanian
Internet comment dataset using traditional machine learning (Naïve Bayes Multinomial …