airtonbjunior/opinionMining
Opinion Mining/Sentiment Analysis Classifier using Genetic Programming
This tool helps businesses and researchers understand public opinion and customer sentiment from text data. You input raw text like social media posts, customer reviews, or survey responses, and it outputs a model that can automatically classify the sentiment (positive, negative, neutral) expressed in new text. This is designed for analysts, marketers, customer experience managers, or anyone needing to gauge attitudes towards products, services, or brands.
No commits in the last 6 months.
Use this if you need to automatically build a sentiment analysis model from your text data without manually defining rules or features, especially for specific domains.
Not ideal if you need a pre-trained, off-the-shelf sentiment classifier and don't want to train a custom model.
Stars
13
Forks
3
Language
Python
License
—
Category
Last pushed
Feb 01, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/airtonbjunior/opinionMining"
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)