Morphological processing of Indian languages is one of the most escalating fields in the era
of Natural Language Processing (NLP) since the last decade. The evaluation of Asian …

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 (SA) is a greater part of Natural Language Processing (NLP) in the
research field. Previously a lot of work was done by SA in various languages. Most of the …

__________________________________… entiment analysis seeks to reveal textual
knowledge of literary documents in which people communicate their thoughts and views on …

Sentiment Analysis (SA) is an application of Natural Language Processing (NLP) to extract
the sentiments expressed in the text. In this paper, we experimented five approaches to …

This research paper investigates the efficacy of various machine learning models, including
deep learning and hybrid models, for text classification in the English and Bangla …

Social media content in regional languages is expanding from day to day. People use
different social media platforms to express their suggestions and thoughts in their native …

The high variety in the forms of the Arabic words creates significant complexity related
challenges in Natural Language Processing (NLP) tasks for Arabic text. These challenges …

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

The Internet has seen substantial growth of regional language data in recent years. It
enables people to express their opinion by incapacitating the language barriers. Urdu is a …