This is the implementation of text summarization using TextRank as described in the EMNLP - 2004 paper on TextRank: Bringing Order into Texts.
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Updated
Apr 8, 2018 - Python
This is the implementation of text summarization using TextRank as described in the EMNLP - 2004 paper on TextRank: Bringing Order into Texts.
Automatic summarization is the process of shortening a text document with software, in order to create a summary with the major points of the original document. Technologies that can make a coherent summary take into account variables such as length, writing style and syntax.
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💨Making communication📞easier and faster🚅for all 👦 + 👧 + 👴 + 👶 + 🐮 + 🐦 + 🐱
This project is aimed to create an automated method that is able to identify emerging risks faced by multiple businesses and industries, and the trends of those risks.
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Source code for my team's project at Natural Language Processing Subject. The project is a Summarizer Text Application that using Text Rank Algorithm.
LSA and Text Rank Summarizers.
This is a simple extractive text summarization model, built ready to handle Nepali texts and generate its summary using Text-Rank algorithm
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