nlp_graph VS community-vaccines

Compare nlp_graph vs community-vaccines and see what are their differences.

community-vaccines

Could Graph Optimizations Help Deliver Donated Covid Vaccines Overseas PreExpiry? (by kineticadb)
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nlp_graph community-vaccines
1 2
1 3
- -
2.6 0.0
over 2 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
- 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.

nlp_graph

Posts with mentions or reviews of nlp_graph. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-14.
  • graph_summarizer
    2 projects | dev.to | 14 Oct 2021
    Little prehistory: some time ago I worked on graph visualizations based on vector embedding of texts . This vizualisations show relational "distance" between words of sentences. So user can visualize graph of distances between word of text, also you can apply some advanced graph-theoretic approaches to further analyze input text and it's hidden features. I want to use this approach to try on text summarization problem - in my case to extract some more informative sentences from text to compress original text.

community-vaccines

Posts with mentions or reviews of community-vaccines. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing nlp_graph and community-vaccines you can also consider the following projects:

adjustText - A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

course-nlp - A Code-First Introduction to NLP course