The paper explores the application of deep learning techniques to sentiment analysis on social media platforms. It contrasts these advanced methods with conventional machine learning algorithms and ...

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...

Mobile apps and social media platforms now let companies gather much more fine-grained information about people at a lower ...

Study on diffusion behaviors, such as contagion of virus, adoption of production, and information propagation, is one of the hottest topics of social network research. The conventional models usually ...

A scientific message will not resonate unless viewers have clear reason to care about the issue and, more importantly, to ...

Additionally, scraping social media data can result in incomplete, inaccurate, or outdated data. Therefore, you may need to validate, clean, and normalize the data before using it for analysis.