Sentiment analysis consists in the identification of the sentiment polarity associated with a
target object, such as a book, a movie or a phone. Sentiments reflect feelings and attitudes …

Multimodal sentiments have become the challenge for the researchers and are equally
sophisticated for an appliance to understand. One of the studies that support MS problems is …

Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …

Social media platform such as Twitter provides a space where users share their thoughts
and opinion as well as connect, communicate, and contribute to certain topics using short …

Social media represent a rich source of information, such as critiques, feedback, and other
opinions posted online by Internet users. Such information is typically a good reflection of …

Sentiment analysis is the extraction and categorization of sentiments that have been
expressed in text data using text analysis techniques. Manifested by earlier studies …

The smart speaker market, which is considered an early-stage market, is expected to grow
rapidly as smart speakers become a part of daily life. Consequently, manufacturers are …

Social media, in recent times, has with eased an explosion of data with so many social
media platforms available to interact and express opinions freely. This has led to easy …

Social media is arguably the richest source of human generated text input. Opinions,
feedbacks and critiques provided by internet users reflect attitudes and sentiments towards …

Aspect-Based Sentiment Analysis (ABSA) is a type of sentiment analysis that could identify
and extract various aspects or features from text and determining the sentiment associated …