venkat-0706/Sentimental-Analysis
Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text formats.
No commits in the last 6 months.
Stars
18
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 16, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/venkat-0706/Sentimental-Analysis"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
P7h/Spark-MLlib-Twitter-Sentiment-Analysis
:star2: :sparkles: Analyze and visualize Twitter Sentiment on a world map using Spark MLlib
nfflow/redditflow
Do everything from data collection from reddit to training a machine learning model in just two...
umitkaanusta/TIA
Your Advanced Twitter stalking tool
YehezkielG/sentiment-spline-truncated-bencana-banjir
Analisis tren sentimen time-series menggunakan Regresi Spline Truncated.
hleb-kastseika/salesforce-einstein-sentiment-analysis
Demo for Salesforce Einstein Sentiment Analysis (Natural Language Processing)