Bibliometrics Analysis based on Python
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Updated
May 24, 2014 - Python
Bibliometrics Analysis based on Python
Python implementation of TextRank algorithm (https://web.eecs.umich.edu/~mihalcea/papers/mihalcea.emnlp04.pdf) for automatic keyword extraction and summarization using Levenshtein distance as relation between text units.
Application for processing Chinese text : Sentiment , Keywords , Abstract
The project is a modified implementation of Text Rank algorithm to determine the main idea of a given text
TextRank implementation in Python 3.
implementation for "TextRank: Bringing Order into Texts" paper by Rada Mihalcea and Paul Tarau
Python program for fetching and summarizing the most popular articles from Wired.com
Intelligent time compression of lecture videos
Customer Feedback and Sentiment Analysis
This code is based on an unfinished paper of mine that uses a version of topological sorting and WordNet to perform extraction based summarization of a corpus.
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