A survey on sentiment analysis methods, applications, and challenges

M Wankhade, ACS Rao, C Kulkarni - Artificial Intelligence Review, 2022 - Springer
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 …

Sentiment analysis for fake news detection

MA Alonso, D Vilares, C Gómez-Rodríguez, J Vilares - Electronics, 2021 - mdpi.com
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 …

[PDF][PDF] Data analytics for the identification of fake reviews using supervised learning

SN Alsubari, SN Deshmukh, AA Alqarni… - … Materials & Continua, 2022 - cdn.techscience.cn
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 …

Machine learning and deep learning for sentiment analysis across languages: A survey

EM Mercha, H Benbrahim - Neurocomputing, 2023 - Elsevier
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 …

Fake news detection on social media: A data mining perspective

K Shu, A Sliva, S Wang, J Tang, H Liu - ACM SIGKDD explorations …, 2017 - dl.acm.org
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 …

[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 …

Call attention to rumors: Deep attention based recurrent neural networks for early rumor detection

T Chen, X Li, H Yin, J Zhang - … in Knowledge Discovery and Data Mining …, 2018 - Springer
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 …

Graph convolutional networks with markov random field reasoning for social spammer detection

Y Wu, D Lian, Y Xu, L Wu, E Chen - Proceedings of the AAAI conference on …, 2020 - aaai.org
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 …

The future of false information detection on social media: New perspectives and trends

B Guo, Y Ding, L Yao, Y Liang, Z Yu - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
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 …

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 …