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https://github.com/arshitarora/twitter-analysis-using-neo4j
Sentiment analysis has gained significant attention in recent years due to the explosive growth of social media and the vast amount of unstructured data available.. Neo4j's unique approach to data management, which uses a graph-based model, allows for efficient and accurate sentiment analysis on even the most complex data.
https://github.com/arshitarora/twitter-analysis-using-neo4j
Last synced: 24 days ago
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Sentiment analysis has gained significant attention in recent years due to the explosive growth of social media and the vast amount of unstructured data available.. Neo4j's unique approach to data management, which uses a graph-based model, allows for efficient and accurate sentiment analysis on even the most complex data.
- Host: GitHub
- URL: https://github.com/arshitarora/twitter-analysis-using-neo4j
- Owner: ArshitArora
- Created: 2023-05-02T11:37:41.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-05-02T11:38:25.000Z (over 1 year ago)
- Last Synced: 2024-09-18T10:49:18.074Z (4 months ago)
- Language: Jupyter Notebook
- Size: 2.08 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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