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marcocuturi committed Sep 16, 2023
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"source": [
"## From texts to word histograms\n",
"\n",
"We adapt a [keras NLP tutorial](https://keras.io/examples/nlp/pretrained_word_embeddings/) to preprocess raw text (here a subset of texts from the [newsgroup20](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.html) database) and turn them into word embeddings histograms; see [here](https://colab.research.google.com/drive/1uCK_qBpOb8yY32ABU_GcykSKE-Q-yjfi) for detailed preprocessing.\n",
"We adapt a [keras NLP tutorial](http://keras.io/examples/nlp/pretrained_word_embeddings/) to preprocess raw text (here a subset of texts from the [newsgroup20](http://scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.html) database) and turn them into word embeddings histograms; see [here](https://colab.research.google.com/drive/1uCK_qBpOb8yY32ABU_GcykSKE-Q-yjfi) for detailed preprocessing.\n",
"\n",
"This helps us recover 635 histograms supported on 4000 words, each represented by a 50-dimensional vector. We download that data using an url"
]
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