merb92/Twitter-Sentiment-Analysis
Monitor the reception of a new mobile phone on Twitter to help a business reduce its risk of failure and improve product quality using Machine Learning Sentiment Analysis
This project helps businesses understand how customers feel about a new product launch, like a mobile phone, by analyzing public Twitter posts. It takes raw tweets and categorizes them as positive, negative, or neutral. Product managers, marketing teams, or market research analysts can use this to gauge public reception.
No commits in the last 6 months.
Use this if you need an automated way to monitor public sentiment towards your product on Twitter and want early warning signs of negative reception or opportunities to improve.
Not ideal if you need highly accurate, nuanced sentiment classification for complex text data, or if you need to analyze sentiment from platforms other than Twitter.
Stars
13
Forks
7
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 12, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/merb92/Twitter-Sentiment-Analysis"
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