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Try to summarize texts using **TextRank** and evaluate it using Rogue metrics. From the paper by Marek:
> The summa textrank package was slightly altered to use a list of Slovak stop words and Slov…
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http://blog.csdn.net/ntc10095/article/details/52704426
bm25实际上也是求两个句子的相似性
word2vec + bm25 = 两个句子相似性分数
textrank建立Graph得到句子的重要性统计。
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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,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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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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Hi,
Is there any official result(included in summarization topic papers) on TextRank?
Thanks.
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we can see example here: https://github.com/davidadamojr/TextRank/blob/master/textrank.py
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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
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It would be great to be able to have a list of documents and quickly be able to summarize the relevant documents. Sometimes things like topfeatures() doesn't give enough context.
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I can't seem to be able to run this in Mac. is there any requirements not mentioned in setup.py?
```
🍺 python textrank.py summarize ./articles/3.txt
Traceback (most recent call last):
File "t…