How we built a Stack Overflow Community questions analyzer (and you can too)

Leveraging the GitLab DevOps Platform, a project was initiated to efficiently analyze and address community questions and feedback on GitLab by automating data collection from StackOverflow using tools like the StackOverflow API, Kubernetes, and open-source Python libraries such as scikit-learn, Streamlit, and Spacy. The project consists of two main components: a Loader that retrieves and preprocesses StackOverflow questions and a Visualizer that generates dashboards from this data. This automated pipeline, which incorporates TF-IDF for feature engineering, allows developers to identify prevalent topics, particularly around GitLab CI and Docker, thus facilitating the creation of targeted educational content while enabling developers to work independently across projects. The initiative has proven successful in pinpointing community needs and suggests further potential for content localization and feature development, with an emphasis on continuous improvement and community collaboration.

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