raju-shrestha/Sentiment-Analysis-of-Twitter-Data-Using-Logistic-Regression
Sentiment Analysis of Twitter Data Using Logistic Regression
This tool helps businesses, researchers, and social scientists understand public opinion and sentiment expressed on Twitter. You input a collection of tweets, and it tells you whether the overall sentiment in each tweet is positive, negative, or neutral. This is ideal for anyone who needs to quickly gauge public perception without manually reading thousands of social media posts.
No commits in the last 6 months.
Use this if you need to rapidly categorize the emotional tone of a large volume of tweets about a product, service, or topic.
Not ideal if you need a nuanced understanding of emotions beyond simple positive, negative, or neutral classifications, or if your data source is not Twitter.
Stars
8
Forks
3
Language
JavaScript
License
—
Category
Last pushed
Dec 08, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/raju-shrestha/Sentiment-Analysis-of-Twitter-Data-Using-Logistic-Regression"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
cardiffnlp/tweetnlp
TweetNLP for all the NLP enthusiasts working on Twitter! The Python library tweetnlp provides a...
sharmaroshan/Twitter-Sentiment-Analysis
It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the...
the-javapocalypse/Twitter-Sentiment-Analysis
This script can tell you the sentiments of people regarding to any events happening in the world...
I-am-sayantan/public-sentiment-analysis-based-on-twitter-hashtags
This project focuses on sentiment analysis. Social Sentiment analysis is the use of natural...
riochr17/Analisis-Sentimen-ID
Analisis Sentimen Twitter dengan TFIDF-ANN