Development of a Topic Drift and Document Similarity Analyser
Data Science — 2025, Undergraduate
nigeriadriftdocumentsimilaritytopic
This project designs and implements development of a Topic Drift and Document Similarity Analyser for content analytics teams. The system was developed using Python, Django, SQLite, Bootstrap, JavaScript. It provides modules for embedding inputs, drift scores, similarity maps and review logs. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
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