Multi-label sentiment classification model developed by
Dejan Marketing.
To see this model in action visit:
Good Vibes ToolThe model is designed to be deployed in an automated pipeline capable of classifying text sentiment for thousands (or even millions) of text chunks or as a part of a scraping pipeline.
This is a demo model which may occassionally misclasify some texts. In a typical commercial project, a larger model is deployed for the task, and in special cases, a domain-specific model is developed for the client.
Interested in using this in an automated pipeline for bulk URL and text processing?
1sentiment_labels = {
2 0: "Good Vibes",
3 1: "No Vibes",
4 2: "Bad Vibes"
5}
Synthetic. Mistral.
