MingDuoLin/News-speech-extraction

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Experimental

Implements speech and opinion extraction from news by training 300-dimensional word vectors with Gensim, then identifying speech-related predicates through breadth-first graph traversal and dependency syntax analysis via HanLTP. Uses TF-IDF similarity scoring to determine opinion sentence boundaries and deploys results through a Flask web interface with Nginx reverse proxy.

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Last pushed

Oct 23, 2019

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