pyRDF2Vec VS text-summarizer

Compare pyRDF2Vec vs text-summarizer and see what are their differences.

pyRDF2Vec

🐍 Python Implementation and Extension of RDF2Vec (by IBCNServices)
Embeddings Word2vec knowledge-graph unsupervised-learning Machine Learning rdf2vec walking-strategy skip-gram cbow feature-matrix rdflib
Source Code
pyrdf2vec.readthedocs.io
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text-summarizer

Python Framework for Extractive Text Summarization (by gaetangate)
text-summarization word-embeddings Word2vec Clustering unsupervised-learning
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pyRDF2Vec text-summarizer
1 1
240 113
0.8% -
2.9 0.0
10 days ago over 2 years ago
Python Python
MIT License GNU General Public License v3.0 only
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pyRDF2Vec

Posts with mentions or reviews of pyRDF2Vec. We have used some of these posts to build our list of alternatives and similar projects.
  • [P] pyRDF2Vec 0.2.0 is out!
    1 project | /r/MachineLearning | 22 Mar 2021
    This release is packed with many new features and optimizations under the hood. An entire overview of what's new can be found in our CHANGELOG (https://github.com/IBCNServices/pyRDF2Vec/releases/tag/0.2.0). An overview of some major updates:

text-summarizer

Posts with mentions or reviews of text-summarizer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-15.

What are some alternatives?

When comparing pyRDF2Vec and text-summarizer you can also consider the following projects:

gensim - Topic Modelling for Humans

obsidian-rss - Read RSS Feeds from inside obsidian

scattertext - Beautiful visualizations of how language differs among document types.

bookshrink - Find the essence

jRDF2Vec - A high-performance Java Implementation of RDF2Vec

hub - A library for transfer learning by reusing parts of TensorFlow models.

YassQueenDB - Graph database library that allows you to store, analyze, and search through your data in a graph format. By using the Universal Sentence Encoder, it provides an efficient and semantic approach to handle text data. 📚🧠🚀

magnitude - A fast, efficient universal vector embedding utility package.

dgl-ke - High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

lightly - A python library for self-supervised learning on images.

PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)

Romanian-Word-Embeddings - Romanian Word Embeddings. Here you can find pre-trained corpora of word embeddings. Current methods: CBOW, Skip-Gram, Fast-Text (from Gensim library). The .vec and .model files are available for download (all in one archive).

pyRDF2Vec vs gensim text-summarizer vs obsidian-rss pyRDF2Vec vs scattertext text-summarizer vs bookshrink pyRDF2Vec vs jRDF2Vec pyRDF2Vec vs hub pyRDF2Vec vs YassQueenDB pyRDF2Vec vs magnitude pyRDF2Vec vs dgl-ke pyRDF2Vec vs lightly pyRDF2Vec vs PyTorch-NLP pyRDF2Vec vs Romanian-Word-Embeddings