NLP analysts ... time sign language translation or speech-to-text for the hearing impaired. You’ll usually need an advanced degree and strong skills in maths, coding, and machine learning. Interest or ...

Background: The objective of this study was to develop machine learning (ML) algorithms utilizing natural language processing (NLP) techniques for the automated detection of cervical ... During the ...

Future work ... traditional NLP methods and more recent LLMs like GPT-3 and GPT-4. For instance, Kong et al. (2024) utilized GPT-4 among other versions for medical counseling (38), while Schneider et ...

We built our work around the state-of-the-art Xception detection algorithm, which is a widely used foundation for deepfake detection systems and can detect deepfakes with an accuracy of 91.5%. We ...

It can quickly process shapeless data to a form an algorithm can work with ... analysis and threat detection by turning vague indicators into actionable insights. NLP can sift through noise ...

Whether we’re using Spotify, Amazon, Netflix or Instagram, we encounter algorithms that recommend ... But how do they actually work? If you're enjoying this article, consider supporting our ...

To identify bogus news, sentiment analysis using NLP can be an effective strategy. NLP algorithms can ascertain the intention and any biases of an author by analyzing the emotions displayed in a ...

“This study has found that there is evidence, using multiple algorithms, that NLP may aid in the identification of candidates who may benefit from referral for epilepsy surgery evaluation ...