Scholary articles

Can generative AI models (ChatGPT & co) read emotions correctly?

Recently, the so-called generative artificial intelligence (GenAI) has received great attention. It is capable of generating new data, images, text or other content based on patterns or input, to quote ChatGPT. Or put another way, it can create new data such as text, images, videos, and music. It relies on machine learning algorithms that allow it to analyze existing data

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8 basic emotions. Why so many?

8 basic emotions. Why so many? In this read we want you to meet the idea behind the unique solution that we came up with. It works wider than popular sentiment analysis tools used today for monitoring internet activities and more. Why? Instead of measuring sentiment, we focus on emotions. What does the emotion analysis offer that sentiment analysis does

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Sentimenti. Good research provides good tools to analyse emotions

Sentimenti = emotions. We have already written how to analyse emotions correctly whilst having a way to automatically measure or classify them. Today we will tell you how we have collected data to create Sentimenti tools. So, once again, we are writing about how to do something right – to research the emotional meaning of texts. The text was written

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What do Sentimenti tools do? – says Dr. Jan Kocoń

Sentimenti tools! Dr Jan Kocoń is a natural language engineer and the person behind the machine learning process within SentiTool, our solution for analyzing emotions in the text. Dr Kocoń coordinates the work of the linguistics team, integrates individual elements of the tool, and works closely with the IT team. If you have to describe Sentimenti and the tools to

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