MohamedHmini/tweetsOLAPing
implementing an end-to-end tweets ETL/Analysis pipeline.
This project helps social media analysts and marketers gather and analyze large volumes of Twitter data. It takes raw Twitter archives or streams as input, processes them, enriches them with sentiment and classification, and outputs a structured dataset ready for deep analysis. The primary users are professionals who need to understand trends, public sentiment, or audience behavior on Twitter.
No commits in the last 6 months.
Use this if you need to build a comprehensive data warehouse for Twitter data and perform multidimensional analysis on tweet and user information, including sentiment and content classification.
Not ideal if you're looking for a simple, quick way to get a few tweets or if you don't have experience with SQL Server tools like SSIS, SSAS, and Power BI.
Stars
59
Forks
7
Language
Python
License
—
Category
Last pushed
Dec 08, 2022
Commits (30d)
0
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