vspiewak/twitter-sentiment-analysis
Streaming tweets with spark, language detection & sentiment analysis, dashboard with Kibana
This project helps marketing analysts and brand managers monitor public perception of brands, products, or topics in real-time. It takes live streams of tweets as input, analyzes their language and sentiment, and then provides an interactive dashboard to visualize the results. This allows users to quickly understand the prevailing mood and trends around specific keywords.
104 stars. No commits in the last 6 months.
Use this if you need to perform continuous, live sentiment analysis on Twitter data to gauge public opinion or track brand mentions as they happen.
Not ideal if you need to analyze historical tweet data, perform highly nuanced natural language processing beyond basic sentiment, or integrate with platforms other than Twitter.
Stars
104
Forks
72
Language
Scala
License
MIT
Category
Last pushed
Dec 21, 2015
Commits (30d)
0
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