pytextrank VS Text-Summarization-using-NLP

Compare pytextrank vs Text-Summarization-using-NLP and see what are their differences.

Text-Summarization-using-NLP

Text Summarization using NLP to fetch BBC News Article and summarize its text and also it includes custom article Summarization (by everydaycodings)
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pytextrank Text-Summarization-using-NLP
2 2
2,102 33
0.5% -
5.9 0.0
2 months ago about 1 year ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pytextrank

Posts with mentions or reviews of pytextrank. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-15.

Text-Summarization-using-NLP

Posts with mentions or reviews of Text-Summarization-using-NLP. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pytextrank and Text-Summarization-using-NLP you can also consider the following projects:

pke - Python Keyphrase Extraction module

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

bert2bert-summarization - Abstractive summarization using Bert2Bert framework.

nlu - 1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

skweak - skweak: A software toolkit for weak supervision applied to NLP tasks

spacy-models - 💫 Models for the spaCy Natural Language Processing (NLP) library

textstat - :memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.

turing - :sparkles: :dna: Turing ES - Enterprise Search, Chatbot using Search Engine and Many NLP Vendors.

communities - Library of community detection algorithms and visualization tools

retext-readability - plugin to check readability

zsl-kg - Framework for zero-shot learning with knowledge graphs.