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we can see example here: https://github.com/davidadamojr/TextRank/blob/master/textrank.py
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Hi,i would like to add a model which can summarize the text using Python and the TextRank algorithm.I will use the **Natural Language Toolkit (NLTK)** library for text processing and **Networkx** for …
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### Aim
This Python script takes a longer piece of text as input and generates a concise summary using the TextRank algorithm from the `sumy` library.
### Details
TextRank is an extractive text …
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Hi,
Is it possible to get the python implementation of original Textrank algorithm? or
Can you suggest the changes that need to be done in the existing code for original Textrank?
I need to com…
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Summarization algorithms is best for extract data from text. Extract date, topics and place for public hearings.
implementations:
- https://github.com/DavidBelicza/TextRank
- https://github.com/J…
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I'm not actually doing the proper TextRank algorithm and I should experiment with that to see how effective it is.
Going to implement it with networkx most likely, shouldn't be difficult. Might be…
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Brief Introduction: If it is possible to highlight the keywords of the text, that would help people read books.
Details: Here are some common data models
- most models https://github.com/boudinf…
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Hi,
I use this library together with spacy for the extraction of the most important words. However, when using the catalan model of spacy, the algorithm gives the following error:
`File "/code/a…
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```
/*
* TextRank.hpp
*
* Created on: 2015年7月7日
* Author: oliverlwang
*/
#ifndef TEXTRANK_H_
#define TEXTRANK_H_
#include "UndirectWeightedGraph.hpp"
namespace CppJieba
{
class TextRank
…
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Textrank方法同样适用于提取关键词
https://github.com/davidadamojr/TextRank/blob/master/textrank/__init__.py