Sentiment analysis is a process in Natural Language Processing that involves detecting and
classifying emotions in texts. The emotion is focused on a specific thing, an object, an …

In recent years, there has been a growing focus on Sentiment Analysis (SA) of code-mixed
Dravidian languages. However, the majority of social media text in these languages is code …

Sentiment Analysis (SA) task for code-mixed Romanized text is an emerging area of
research in Natural Language Processing (NLP). Since informal expression of sentiments in …

The use of abusive language on social media platforms is a prevalent issue that requires
effective detection. Researchers actively engage in abusive language detection and …

Recently, the emergence of social media has opened the way for online harassment in the
form of hate speech and offensive language. An automated approach is needed to detect …

Sentiment analysis (SA) is the systematic identification, extraction, quantification, and study
of affective states and subjective information using natural language processing. It is widely …

Analyzing sentiments or opinions in code-mixed languages is gaining importance due to
increase in the use of social media and online platforms especially during the Covid-19 …

The computational examination of people's opinions, attitudes, and emotions conveyed in
written language is known as sentiment analysis or opinion mining. In recent years, it has …

Social networking as become the irreplaceable platform like never before. We are more up
to date with the issues whether they are good or bad around the globe. The oversharing …

Code-mixed languages are increasingly prevalent on social media and online platforms,
presenting significant challenges in offensive content detection for natural language …