|20 days ago||2 months ago|
|MIT License||Apache License 2.0|
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.
[P] pyRDF2Vec 0.2.0 is out!
1 project | reddit.com/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:
Clustering of text - Where to start?
1 project | reddit.com/r/LanguageTechnology | 4 Aug 2021
If what you want is to determine how similar two categories are, or to learn something about the structure or words that compose those categories, you might consider word shift graphs or Scattertext.
[Data] Principali parole degli ultimi (circa) 200 post sul sub
4 projects | reddit.com/r/italy | 27 Apr 2021
Alternate approaches to TF-IDF?
4 projects | reddit.com/r/LanguageTechnology | 14 Mar 2021
Other suggestions: Take a look at Scattertext. Compare keywords to the problem of aspect extraction. I think an underutilized way to look at textual data when you have a single group of interest is the word-frequency-based odds ratio.
What are some alternatives?
BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.
KeyBERT - Minimal keyword extraction with BERT
stopwords-it - Italian stopwords collection
word_cloud - A little word cloud generator in Python
shifterator - Interpretable data visualizations for understanding how texts differ at the word level
lit - The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.
faiss - A library for efficient similarity search and clustering of dense vectors.
gensim - Topic Modelling for Humans
texthero - Text preprocessing, representation and visualization from zero to hero.