Topic Classification for Social Media Posts

Requirements Clarification & Assessment

1. Objective:

   • Develop a system to automatically categorize social media posts by topic.

2. Scale:

   • Thousands of posts generated every hour, indicating the need for a scalable solution.
   • Existing vast corpus of posts, requiring efficient processing and storage.

3. Performance Metrics:

   • Accuracy of topic classification.
   • Latency in processing new posts.
   • Scalability to handle increasing data volume.

4. Constraints:

   • Real-time or near real-time classification for new posts.
   • Resource limitations, including computational power and storage.

5. Data Considerations:

   • Availability of labeled data for supervised learning.
   • Handling of diverse and evolving language patterns in social media.

6. Integration:

   • Compatibility with existing systems and workflows.
   • Potential use of existing pretrained models or external APIs.

7. User Interaction:

   • Feedback mechanisms for users to improve model accuracy.