Sentiment analysis is one of the most popular research areas in natural language
processing. It is extremely useful in many applications, such as social media monitoring and …

With time, numerous online communication platforms have emerged that allow people to
express themselves, increasing the dissemination of toxic languages, such as racism …

Code-switching, the alternation of languages within a conversation or utterance, is a
common communicative phenomenon that occurs in multilingual communities across the …

Previous research on sentiment analysis mainly focuses on binary or ternary sentiment
analysis in monolingual texts. However, in today's social media such as micro-blogs …

In recent times, sentiment analysis has become one of the most active research and
progressively popular areas in information retrieval and text mining. To date, sentiment …

Emotion detection is a widely studied topic in natural language processing due to its
significance in a number of application areas. A plethora of studies have been conducted on …

Emotion identification from text data has recently gained focus of the research community.
This has multiple utilities in an assortment of domains. Many times, the original text is written …

This paper describes the approach that we utilized to participate in the shared task for multi-
label and multi-class emotion classification organized as part of WASSA 2023 at ACL 2023 …

Multilingual characteristics, lack of annotated data, and imbalanced sample distribution are
the three main challenges for toxic comment analysis in a multilingual setting. This paper …

Code-switched emotion detection, a task analyzing the emotion in code-switched texts, has
gain increasing research attention within recent years. Prior works utilize various neural …