A model to automatically identify the sentiment polarity of specific words in written texts
In recent years, computer scientists have been trying to develop effective models for sentiment analysis. These models are designed to analyze sentences or longer texts and autonomously determine their underlying emotional tone.
Large language models (LLMs), the computational models underpinning the functioning of ChatGPT, Gemini and other widely used artificial intelligence (AI) platforms, can rapidly source information and generate texts tailored for specific purposes. As these models are trained on large amounts of texts written by humans, they could exhibit some human-like…
After the advent of ChatGPT, the readily available model developed by Open AI, large language models (LLMs) have become increasingly widespread, with many online users now accessing them daily to quickly get answers to their queries, source information or produce customized texts. Despite their striking ability to rapidly define words…
When artificial intelligence models pore over hundreds of gigabytes of training data to learn the nuances of language, they also imbibe the biases woven into the texts.