/deep_nlp_on_sf_literature

Multi-pronged, multi-stage analysis of a 3.5M-sentences science fiction corpus using optimized NLP, with NER techniques, LDA modeling and LLM integration. After final commit, will be able to run a main file to generate a visualization of results on-demand. Modularized and documented code that can easily be reused/refitted for other kinds of corpii.

Primary LanguagePythonMIT LicenseMIT

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