With the pervasive growth of web-based businesses, sentiment analysis of online reviews
has attracted increasing interest among text mining experts. The problem is complicated …

Sentiment analysis is the process of mining textual data in order to extract the author's
opinion, typically expressed as a positive, neutral, or negative attitude towards the written …

Analyzing and understanding the sentiments of social media documents on Twitter,
Facebook, and Instagram has become a very important task at present. Analyzing the …

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 has been remarkably grown during the past few years. Nowadays, posting
messages on social media websites has become one of the most popular Internet activities …

Sentiment analysis attempts to identify, extract and quantify affective states and subjective
information from various types of data such as text, audio, and video. Many approaches …

Sentiment analysis has got attentions for its guidance significance since the influence of
online public reviews dramatically increased these years. It aims to perceive people's …

Sentiment Analysis aims at extracting peoples sentiment, opinion, and appraisal from their
comments in social websites. Most research efforts in the area of sentiment analysis have …

Among text-mining studies, one of the most studied topics is the text classification task
applied in various domains, including medicine, social media, and academia. As a sub …

Sentiment Analysis is a research field that studies human opinion, sentiment, evaluation,
and emotions towards entities such as products, services, organizations, events, topics, and …