LuluW8071/Text-Sentiment-Analysis
Text Sentiment Analysis with RNNs Models + Additive Attention and Transformers
This tool helps businesses and analysts understand opinions expressed in text by automatically categorizing written feedback as positive, negative, or neutral. You feed it customer reviews, social media posts, or survey responses, and it tells you the underlying sentiment. It's ideal for anyone who needs to quickly gauge public opinion or customer satisfaction from large volumes of text.
No commits in the last 6 months.
Use this if you need to quickly and accurately determine the emotional tone of text data for business, market research, or social media monitoring.
Not ideal if your primary need is detailed qualitative analysis or understanding complex nuances of human emotion beyond basic sentiment.
Stars
9
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 23, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/LuluW8071/Text-Sentiment-Analysis"
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