Zero-Shot Text Classification Experience With Scikit-LLM

Text classification is one of the most common applications of natural language processing (NLP). It’s the task of assigning a set of predefined classes to pieces of text in a document.
Text classification can be helpful with many applications, such as sentiment analysis, spam detection, topic modeling, document summarization, and more.

The standard approach to text classification consists of training a model in a supervised manner. Anyway, following this methodology, results depend on the availability of hand-labelled training data. For …

analysis applications classification detection document experience gpt language language processing large language models llm modeling natural natural language natural language processing nlp openai processing scikit-learn sentiment sentiment analysis set spam standard summarization text text classification topic modeling zero shot learning