graph_summarizer

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  • graph_summarizer

    summarize text using graphs and language vector models

  • Here's the link to the repo

  • nlp_graph

    graph representation of word embeddings

  • Little prehistory: some time ago I worked on graph visualizations based on vector embedding of texts . This vizualisations show relational "distance" between words of sentences. So user can visualize graph of distances between word of text, also you can apply some advanced graph-theoretic approaches to further analyze input text and it's hidden features. I want to use this approach to try on text summarization problem - in my case to extract some more informative sentences from text to compress original text.

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