jparkerweb/fast-topic-analysis
🏷️ Fast Topic Analysis is a tool for analyzing text against predefined topics using average weight embeddings and cosine similarity
This tool helps non-technical users quickly sort and categorize incoming text, like customer feedback or support tickets, against a set of predefined topics. You feed it examples of text related to your topics, and it learns to classify new, unseen text, telling you which topics are present and how strongly. It's designed for anyone who needs to understand the main subjects within large volumes of text without manually reading each piece.
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Use this if you need to automatically identify specific themes or subjects within various text inputs, such as customer reviews, survey responses, or internal communications.
Not ideal if you need to discover new, previously unknown topics within your data rather than classify against existing ones, or if your analysis requires deep sentiment understanding.
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Language
JavaScript
License
MIT
Category
Last pushed
Feb 26, 2025
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