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documentation/paper_drafts/report.txt
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title - Automated/High Fidelity Functional Map Generation using Text Data Clustering
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abstract
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keywords
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introduction
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literature review
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methodology
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1. data sourcing
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2. data filtering
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3. square tiles generation
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4. example use cases - define regions
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5. data description - EDA
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6. embeddings - TFIDF, USE, Sentence Transformers (3 4 models)
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7. clustering - knee/elbow point
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8. 3D visual representation
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9. auto labelling and comparison with manual coded values
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results
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1. evaluation metrics
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2. visual cluster evaluation
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3. classification accuracy
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conclusion
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