textaugment
scattertext
textaugment | scattertext | |
---|---|---|
2 | 3 | |
372 | 2,198 | |
1.3% | - | |
4.6 | 4.7 | |
2 months ago | about 2 months ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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textaugment
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NLP augmentation models
I just came across this Python library. It has a bunch of dictionary-, backtranslation- and knowledge-based heuristics that should work most of the time:
- Prefer volume or quality for BERT-based Text classification model
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.
What are some alternatives?
AugLy - A data augmentations library for audio, image, text, and video.
BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.
word_forms - Accurately generate all possible forms of an English word e.g "election" --> "elect", "electoral", "electorate" etc.
KeyBERT - Minimal keyword extraction with BERT
wordnet - Stand-alone WordNet API
stopwords-it - Italian stopwords collection
tfops-aug - TFOps-Aug: Implementation of policy-based image augmentation techniques based on TF2 Operations. All augmentations as efficient Tensorflow 2.11.0 operations. Easy integration into a tf.data API pipeline.
word_cloud - A little word cloud generator in Python
magnitude - A fast, efficient universal vector embedding utility package.
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