Growth in the area of opinion mining and sentiment analysis has been rapid and aims to
explore the opinions or text present on different platforms of social media through machine …

Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …

Sentiment analysis is an automatic way to determine that whether opinions of people about
a subject are favorable or unfavorable. One of the most important sub tasks in sentiment …

Sentiment analysis is a task that highly depends on the understanding of word senses.
Traditional neural network models are black boxes that represent word senses as vectors …

Sentiment analysis of textual content has become a popular approach for market prediction.
However, lack of a process for word sense disambiguation makes it questionable whether …

Sentiment analysis is a classification problem where the main focus is to predict the polarity
of words and then classify them into positive or negative sentiment. Classifiers used are of …

Twitter sentiment analysis is an effective tool for various Twitter-based analysis tasks.
However, there is still no neural-network-based research which takes both the tweet-text …

The rise of social media as a platform for opinion expression and social interactions
motivated the need for an automated data analysis technique for business value extraction …

With the outbreak of the COVID-19 pandemic, researchers have studied how people reacted
on social media during the pandemic. Sentiment analysis has been leveraged to gain …

In the ever-expanding digital landscape, the abundance of user-generated content on
consumer platforms such as Booking and TripAdvisor offers a rich source of information for …