People are using AI to write sensitive messages to loved ones. Detecting AI-generated text is becoming more difficult as chatbots evolve. Some tech leaders have promoted this use of AI in their ...

ADOT has been made aware of two versions of the scam text that also included grammatical errors and came from overseas.

While mourning the passing of Ozzy Osbourne, Jake E. Lee shared the last text message he received from the Prince of Darkness.

Automated extraction using artificial intelligence (AI) can improve efficiency and cost-effectiveness. The focus of this study was to autonomously extract comprehensive SDoH details from EHR using a ...

The evolving capabilities of AI models such as GPT -3 and GPT -4, and Deepseek have rendered it ever more difficult to distinguish between human-written text and AI-generated text. The issue raises ...

Using natural language processing (NLP) to analyze unstructured text in clinical documents and messaging apps, for example, could expedite processes and save time for clinicians, according to Ng.

Mining giant Vale aims to stop using water to process iron ore at its Carajas mines by 2027, executives said on Tuesday, while expanding pellet feed production through the reuse of mine waste at ...

e23291 Background: Natural Language Processing (NLP) for extraction of oncology-specific data-phenotypes from free-text in electronic medical records (EMR) is an efficient method for generating ...

This shift has made semantic SEO essential, and Python a practical tool for putting it into action through Natural Language Processing (NLP). If you’re wondering how to use Python for NLP and semantic ...

Task 4: Sentiment Analysis Using NLP The fourth task involved performing sentiment analysis on textual data. I used Python libraries such as NLTK, TextBlob, and scikit-learn. First, I carried out data ...