Social media is a powerful source of communication among people to share their sentiments
in the form of opinions and views about any topic or article, which results in an enormous …

Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …

Recently, a huge amount of online consumer reviews (OCRs) is being generated through
social media, web contents, and microblogs. This scale of big data cannot be handled by …

Over the last decade, the amount of Arabic content created on websites and social media
has grown significantly. Opinions are shared openly and freely on social media and thus …

Understanding and comprehending humans' views, beliefs, attitudes, or opinions toward a
particular entity is sentiment analysis (SA). Advancements in e‐commerce platforms has led …

In today's digital era, the proliferation of vernacular languages such as Hindi, Marathi,
Bengali, Tamil, and Malayalam cannot be overlooked. The social media sites like Facebook …

Before the arrival of the web as a corpus, people detected positive and negative news based
on the understanding of the textual content from physical newspaper rather than an …

Sentiment Analysis (SA) has been a core interest in the field of text mining research, dealing
with computational processing of sentiments, views, and subjective nature of the text. Due to …

Sinhala is a low-resource language, for which basic language and linguistic tools have not
been properly defined. This affects the development of NLP-based end-user applications for …

Due to the high impact of the fast-evolving fields of machine learning and deep learning,
Natural Language Processing (NLP) tasks have further obtained comprehensive …