Sentiment analysis of Dravidian languages has received attention in recent years. However,
most social media text is code-mixed and there is no research available on sentiment …

In recent years, given the exponential increase in social media content also led to an
increase in online hate speech. We need automatic hate speech detection methods due to …

Data fusion technology based on the multi-sensor system can obtain the holistic properties
of samples. However, multi-sensor data fusion will bring more redundant information, which …

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 …

During the recent years, online social media have expanded in volume and coverage and
have become a significant source of information for different groups of people. The …

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

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 …

Sentiment analysis is highly important in social media monitoring since it helps us to see
how the general population feels about a certain issue. Several studies have been …

Sentiment analysis is one of the most researched topics in the computer science domain.
Whenever the term opinion appears, sentiment analysis is required. Many business sectors …

The extended use of the internet and social networking platforms has ushered in a new
avenue for people to share their ideas. Sentiment analysis is the process of categorizing …