A Lexicon-based Feature for Twitter Sentiment Analysis (2022)

Twitter Sentiment Analysis shows several challenges due to the platform’s features (e.g., short messages, colloquial style, etc.). People want to express their ideas related to personality, events, or breaking news. Social media is one of the fastest ways to express opinions, and research directions are developed to analyze the polarity of written messages. Very…

An unsupervised approach for Twitter Sentiment Analysis of USA 2020 Presidential Election (2022)

The USA presidential election in 2020 has aroused the interest of society as a whole. Social media plays an essential role in campaigns due to how people express their ideas about a candidate. Therefore, analyzing messages posted on environments like Twitter is a challenging task that can be accomplished using sentiment analysis techniques. Our…

Advances in Clickbait and Fake News Detection Using New Language-independent Strategies (2021)

Online publishers rely on different techniques to trap web visitors, clickbait being one such technique. Besides being a bad habit, clickbait is also a strong indicator for fake news spreading. Its presence in online media leads to an overall bad browsing experience for the web consumer. Recently, big players on the Internet scene, such…