Abstract: This review article provides a thorough assessment of modern and innovative algorithms for text classification through both observational and experimental evaluations. We propose a new ...

Social media and algorithmic recommendations aren’t just reflecting our divisions — they’re driving them. According to a poll conducted by Siena University and The New York Times, “most voters think ...

ABSTRACT: Text classification plays a critical role in numerous natural language processing applications, yet limited work has addressed the unique linguistic structure of African languages such as ...

Hackers on Monday hijacked a mass text messaging service, pushing hundreds of thousands of scam texts to people who subscribe to alerts from New York state, a Catholic charity and a political ...

Everyone knows what a AAA game is, right? If it were a movie, you’d call it a “blockbuster”: a big, glossy, heavily marketed production, expected to sell big numbers. Then there are AA games, ...

Text messages released between Tyler Robinson, the suspect in Charlie Kirk's murder, and his roommate, Lance Twiggs, have attracted scrutiny from people on social media. Writing on X and other ...

Pew Research Center conducted this study to understand Americans’ views of artificial intelligence (AI) and its potential impact on people and society. For this analysis, we surveyed 5,023 adults from ...

LONDON, Sept 11 (Reuters) - British house prices showed the most widespread falls in more than a year-and-a-half in August as new buyer demand weakened against a backdrop of a weak economy, high ...

Key findings from Inside Higher Ed’s student survey on generative AI show that using the evolving technology hasn’t diminished the value of college in their view, but it could affect their critical ...

Authorities are warning the public to be careful about texts impersonating Amazon and offering refunds. "Scammers are pretending to be Amazon again," the Federal Trade Commission said in a recent news ...

What if you could simplify the complexities of natural language processing (NLP) without sacrificing accuracy or efficiency? For years, developers and researchers have wrestled with the steep learning ...