A survey on sentiment analysis methods, applications, and challenges
The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …
Sentiment analysis for fake news detection
In recent years, we have witnessed a rise in fake news, ie, provably false pieces of
information created with the intention of deception. The dissemination of this type of news …
information created with the intention of deception. The dissemination of this type of news …
[PDF][PDF] Data analytics for the identification of fake reviews using supervised learning
Fake reviews, also known as deceptive opinions, are used to mislead people and have
gained more importance recently. This is due to the rapid increase in online marketing …
gained more importance recently. This is due to the rapid increase in online marketing …
Machine learning and deep learning for sentiment analysis across languages: A survey
The inception and rapid growth of the Web, social media, and other online forums have
resulted in the continuous and rapid generation of opinionated textual data. Several real …
resulted in the continuous and rapid generation of opinionated textual data. Several real …
Fake news detection on social media: A data mining perspective
Social media for news consumption is a double-edged sword. On the one hand, its low cost,
easy access, and rapid dissemination of information lead people to seek out and consume …
easy access, and rapid dissemination of information lead people to seek out and consume …
[HTML][HTML] A survey on sentiment analysis challenges
DMEDM Hussein - Journal of King Saud University-Engineering Sciences, 2018 - Elsevier
With accelerated evolution of the internet as websites, social networks, blogs, online portals,
reviews, opinions, recommendations, ratings, and feedback are generated by writers. This …
reviews, opinions, recommendations, ratings, and feedback are generated by writers. This …
Call attention to rumors: Deep attention based recurrent neural networks for early rumor detection
The proliferation of social media in communication and information dissemination has made
it an ideal platform for spreading rumors. Automatically debunking rumors at their stage of …
it an ideal platform for spreading rumors. Automatically debunking rumors at their stage of …
Graph convolutional networks with markov random field reasoning for social spammer detection
The recent growth of social networking platforms also led to the emergence of social
spammers, who overwhelm legitimate users with unwanted content. The existing social …
spammers, who overwhelm legitimate users with unwanted content. The existing social …
The future of false information detection on social media: New perspectives and trends
The massive spread of false information on social media has become a global risk, implicitly
influencing public opinion and threatening social/political development. False information …
influencing public opinion and threatening social/political development. False information …
A novel approach to fake news detection in social networks using genetic algorithm applying machine learning classifiers
D Choudhury, T Acharjee - Multimedia Tools and Applications, 2023 - Springer
Now-a-days fake news have become part and parcel of our everyday life due to its quick
spreading in different social media. Fake news identification has been emerging as an …
spreading in different social media. Fake news identification has been emerging as an …