Probox
Classification, storage, and cost-effective retrieval for behavioral reports.
Probox is a digital observatory that monitors and analyzes the socio-political conversation through the trends positioned on X (Twitter).
Probox provides valuable insights, enabling users to gain a deeper understanding of real public sentiment, emerging narratives, and influential voices.
To achieve their goals, they required the capability to securely store data. This enabled them to apply a tailored algorithm, analyze behavior, and produce comprehensive statistics and detailed reports.
Here are some of the tools we used
Angular
Angular is a tool for developing web applications capable of scaling from small projects to enterprise platforms.
Firebase
Firebase is a set of backend cloud computing services and application development platforms provided by Google
Python
Python is a programming language used for server-side development, data analysis, AI, and many other amazing areas.
Managing the large amount of data was a major challenge, as it affected all aspects of the project.
The tool can monitor thousands of tweets from a dozen trends in parallel, and all of these are classified and stored for later use. Additionally, these tweets can be queried quickly without excessively high processing costs in order to generate behavioral reports with the expected frequency.
Finally, tracking and controlling parallel monitoring also turned out to be a challenge due to the way the Twitter API worked at the time of starting this project.
The developed platform has allowed Probox to efficiently analyze and monitor trends of interest. In 3 years we can observe:
+500,000,000
tweets stored in a total of +270 GB
+15,000,000
runs of the customized algorithm
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