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P4. Explore different measures to define semantic dependencies between two texts
P3. Document cluster summaries and labelling
P2. Building a classifier to mark words as chemical elements, properties, processes, and products
P1. Building chemistry aware word-embeddings model
Master Thesis Topic 6: Vector space of documents
Master Thesis Topic 5: Document cluster labeling
Master Thesis Topic 4: Topic modeling vs Keyword extraction
Master Thesis Topic 3: Metrics for quality of Topic Modeling
Master Thesis Topic 2: Metrics for quality of keyword extractions
Master Thesis Topic 1: Avoiding biases in training datasets
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