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 ...

WASHINGTON, Nov 12 (Reuters) - The head of the U.S. Securities and Exchange Commission said on Wednesday the agency would soon consider establishing a classification for digital assets to help ...

Pressure is mounting on Virginia Democratic attorney general nominee Jay Jones to drop out of his race following leaked text messages in which he openly talks about violence directed toward former ...

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 ...

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 ...

Pew Research Center conducted this study to understand Americans’ experiences with and views of online scams and attacks. For this analysis, we surveyed 9,397 adults from April 14 to 20, 2025.

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...

The cyclical, now AI-fueled, “SEO is dead” panic cycle is in full swing. But here’s what most of those headlines miss: Search isn’t a platform, it’s a behavior. Whether people are typing into Google ...

Do not click on the link as requested when you receive a text about an unpaid ticket or toll. It's likely a scam. Detroit has warned about fake texts involving unpaid parking tickets, too. Bogus ...

Your phone buzzes. Could it be a friend inviting you to happy hour? Your partner sharing the song they can’t stop listening to? Your coworker sending you a TikTok? Nope! It’s a poll asking for your ...

ABSTRACT: This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional ...