P7h/Spark-MLlib-Twitter-Sentiment-Analysis
:star2: :sparkles: Analyze and visualize Twitter Sentiment on a world map using Spark MLlib
This project helps you understand public opinion by analyzing real-time tweets and visualizing their sentiment on a world map. It takes raw Twitter data, classifies each tweet as positive, neutral, or negative, and then plots these sentiments geographically. Anyone interested in tracking brand perception, public reaction to events, or general sentiment trends across different regions would find this useful.
142 stars. No commits in the last 6 months.
Use this if you need to quickly see global sentiment trends from live Twitter data, with results displayed visually on a map.
Not ideal if you need deep, nuanced linguistic analysis beyond basic sentiment classification or if you require analysis of non-English tweets.
Stars
142
Forks
66
Language
Scala
License
Apache-2.0
Category
Last pushed
Apr 27, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/P7h/Spark-MLlib-Twitter-Sentiment-Analysis"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
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.
BBVA/Tarkin
A tool for anomaly detection over streaming data based on sentiment analysis