zafarali/sentiment.datalogue
Sentiment analysis challenge for Datalogue recruiting
This project helps people understand the emotional tone of written text, specifically movie reviews. It takes raw text as input and classifies it as either positive or negative sentiment. Researchers, marketers, or anyone analyzing large volumes of qualitative feedback would find this useful for quickly gauging public opinion.
No commits in the last 6 months.
Use this if you need to automatically sort or categorize written feedback by positive or negative sentiment.
Not ideal if you require a nuanced understanding of sentiment beyond simple positive/negative, or if your text data is in a language other than English.
Stars
14
Forks
3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 01, 2017
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/zafarali/sentiment.datalogue"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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