Prajwal10031999/Sentiment-Analysis-ML-Flask-App
A machine learning end to end flask web app for sentiment analysis model created using Scikit-learn & VADER Sentiment.
This tool helps businesses understand customer opinions and feelings expressed in text, particularly from social media and reviews. You input text like customer feedback or social media posts, and it tells you if the sentiment is positive, negative, or neutral. This helps marketers, product managers, and customer service teams make data-driven decisions about products and services.
No commits in the last 6 months.
Use this if you need a quick way to gauge public sentiment towards a product, brand, or topic from text data.
Not ideal if you require a highly nuanced sentiment analysis with granular emotion detection beyond basic polarity, or if you need to process large volumes of data offline.
Stars
28
Forks
23
Language
Python
License
—
Category
Last pushed
May 05, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Prajwal10031999/Sentiment-Analysis-ML-Flask-App"
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
hleb-kastseika/salesforce-einstein-sentiment-analysis
Demo for Salesforce Einstein Sentiment Analysis (Natural Language Processing)
YehezkielG/sentiment-spline-truncated-bencana-banjir
Analisis tren sentimen time-series menggunakan Regresi Spline Truncated.