scattertext
stopwords-it
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scattertext | stopwords-it | |
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3 | 2 | |
2,196 | 34 | |
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4.7 | 0.0 | |
about 1 month ago | almost 2 years ago | |
Python | ||
Apache License 2.0 | MIT License |
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scattertext
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Clustering of text - Where to start?
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
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Alternate approaches to TF-IDF?
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.
stopwords-it
- [Data] Principali parole degli ultimi (circa) 200 post sul sub
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Caffè Italia * 26/04/21
Stopwords ita: https://github.com/stopwords-iso/stopwords-it
What are some alternatives?
BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.
KeyBERT - Minimal keyword extraction with BERT
word_cloud - A little word cloud generator in Python
shifterator - Interpretable data visualizations for understanding how texts differ at the word level
lit - The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
yake - Single-document unsupervised keyword extraction
faiss - A library for efficient similarity search and clustering of dense vectors.
dutch-word-embeddings - Dutch word embeddings, trained on a large collection of Dutch social media messages and news/blog/forum posts.
texthero - Text preprocessing, representation and visualization from zero to hero.
gensim - Topic Modelling for Humans
pyRDF2Vec - 🐍 Python Implementation and Extension of RDF2Vec