Abstract: Text data classification in social networks is a crucial task for various applications such as sentiment analysis, spam detection, and content moderation. This abstract presents an algorithm ...

For all 4 algorithms, more balanced classes (multiplier: 0.93-0.96 for a 1% increase in minority class proportion) were associated with decreased sample size. Other characteristics varied in ...

Nick Cecil, Mining Industry Principal at Syntax, considers how mining companies can move from AI hype to practical readiness by strengthening AI governance, establishing AI guardrails, and building ...

Abstract: Due to climate change in recent years, wildfires have become one of the most harmful hazards to the environment and society. In firefighting operations, the early stages are crucial to ...