The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …

Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …

The rapid growth of the internet has reached the fourth generation, ie, web 4.0, which
supports Sentiment Analysis (SA) in many applications such as social media, marketing, risk …

Accurate sentiment analysis is greatly hindered by the code-switching phenomena,
especially in the setting low resource language such as the Hausa. However, the majority of …

The field of low-resource sentiment analysis has seen significant developments in recent
years. This research review SLR evaluates the approaches and data sources utilized in low …

The mixing of two or more languages is called Code-Mixing (CM). CM is a social norm in
multilingual societies. Neural Language Models (NLMs) like transformers have been …

Code-switching (CS), a ubiquitous phenomenon due to the ease of communication it offers
in multilingual communities still remains an understudied problem in language processing …

The mixing of two or more languages is called Code-Mixing (CM). CM is a social norm in
multilingual societies. Neural Language Models (NLMs) like transformers have been very …

Code-mixing or Code-switching is the mixing of languages in the same context,
predominantly observed in multilingual societies. The existing code-mixed datasets are …

Sentiment analysis is difficult nowadays when we collect data from social media sites as
people from every walk of life come there and write their opinion about various things. Social …