Sentiment analysis aims to extract people's emotions and opinion from their comments on
the web. It widely used in businesses to detect sentiment in social data, gauge brand …

Social media users use words and phrases to convey their views or opinions. However,
some people use idioms or proverbs that are implicit and indirect to make a stronger …

Sentiment analysis examines the emotional content of a statement, such as views,
assessments, feelings, or attitudes about a topic, human, or object. Emotions can be …

As cognitive-inspired computation approaches, deep neural networks or deep learning (DL)
models have played important roles in allowing machines to reach human-like …

Text annotation is an essential element of the natural language processing approaches. The
manual annotation process performed by humans has various drawbacks, such as …

Recently, social networks have experienced an exponential growth, providing online users
with a venue for expressing and sharing their views in a variety of areas. A very popular …

The interplay of specific weather conditions and human activity results due to haze. When
the haze arrives, individuals will use microblogs to communicate their concerns and …

Traditional sentiment classification methods often ignore the influence of psychological
features on classification results. Moreover, most sentiment classification methods fail to …

This research analyzes the social sentiment of the academic community towards the digital
education platform Google Classroom. Artificial intelligence algorithms such as Naïve …

E-commerce strongly relies on marketing strategies that utilize user given feedback on
services provided. Hotels and other hospitabilty outlets such as restaurants enlist user …