P7h/Spark-MLlib-Twitter-Sentiment-Analysis

:star2: :sparkles: Analyze and visualize Twitter Sentiment on a world map using Spark MLlib

49
/ 100
Emerging

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.

social-media-monitoring public-opinion-analysis brand-reputation geo-spatial-sentiment event-monitoring
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

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Stars

142

Forks

66

Language

Scala

License

Apache-2.0

Last pushed

Apr 27, 2021

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/P7h/Spark-MLlib-Twitter-Sentiment-Analysis"

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