pytextrank
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Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
We need to move the execution of CLI scripts used to build the documentation into a Make file. Wise suggestion from @louisguitton:
@Ankush-Chander @louisguitton @dvsrepo @jake-aft: here's a quick note about a potential integration or enhancement, related to #78 With the *textrgraph* family of algorithms, we can augment their ability for phrase...
#### Problem description My requirement is, the generated summary should have specific keywords from the input text. #### Steps/code/corpus to reproduce I need the pipeline component to accept keywords as...
In the text rank extension, we have a summarization method; but that option will be more effective if you expose the sentence score as a touple with the sentences that...
Could an integration with VerbNet help augment the graph? In other words, identifying metanyms for verb relations, in a way similar to what's performed for nouns? -
README states pytextrank can be used for three tasks 1. phrase extraction 2. summarization 3. entity linking I see that examples and usage are available for 1 and 2 but...
Hi everyone! It is mentioned in the project's description that enriching the lemma graph would improve TextRank's performance. I saw that showing examples of this was in the todo list...
I have run the following code snippet, the output including word "it", `pos_kept` don't include the PRON. ```python import spacy import pytextrank nlp = spacy.load("en_core_web_sm") # add PyTextRank to the...
This PR was automatically created by Snyk using the credentials of a real user.Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of...
This PR was automatically created by Snyk using the credentials of a real user.Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of...