Sentiment analysis or opinion mining seeks to automate the detection of subjectiveness
underlying a text. It is essential for many applications, such as political campaign, online …

Text-based sentiment analysis is an automated process of analyzing natural language text
data and classifying opinions as negative, positive or neutral using computational methods …

In recent years, sentiment analysis has gained predominance due to its applications in
various domains, including social media monitoring, customer feedback analysis, market …

With the rapid development of mobile Internet, online platforms such as social entertainment
and e-commerce have brought a large number of unstructured texts containing sentiment …

Sentiment lexicons have been leveraged as a useful source of features for sentiment
analysis models, leading to the state-of-the-art accuracies. On the other hand, most existing …

As an important task of natural language processing, chinese text sentiment analysis aims to
analyze the comprehensive sentiment polarity of chinese text. With the emergence of …

Sentiment Analysis studies people's attitudes, opinions, evaluations, emotions, sentiments
toward some entities such as products, topics, individuals, services, issues and classify them …

Social media is an essential component of our personal and professional lives. We use it
extensively to share various things, including our opinions on daily topics and feelings about …

Twitter Sentiment Analysis shows several challenges due to the platform's features (eg, short
messages, colloquial style, etc.). People want to express their ideas related to personality …

Sentiment lexicons are an essential component on most state-of-the-art sentiment analysis
methods. However, the terms included are usually restricted to verbs and adjectives …