hyoaru/anonalyze-process
A machine learning project part of the anonalyze initiative focused on sentiment and emotion classification through Natural Language Processing (NLP). Utilizing a Multinomial Naive Bayes classifier, this system analyzes Twitter data to predict sentiments (positive, negative, neutral) and emotions (sadness, joy, love, anger, fear, surprise).
No commits in the last 6 months.
Stars
—
Forks
—
Language
HTML
License
—
Category
Last pushed
Sep 04, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/hyoaru/anonalyze-process"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
kevincobain2000/sentiment_classifier
Sentiment Classification using Word Sense Disambiguation
malavbhavsar/sentimentalizer
Sentiment analysis with Machine Learning
onpilot/sentimen-bahasa
Analisis sentimen teks bahasa Indonesia dengan Support Vector Machine (SVM): Perbandingan...
bensonruan/Sentiment-Analysis
Twitter Sentiment Analysis
AdilShamim8/Sentiment-analysis
An interactive NLP project that classifies text as positive/neutral/negative and serves it...