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Popular pages
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Vectorization
Vectorization Text analysis pipeline Most text mining and NLP modeling use bag of words or bag of n-grams methods. Despite their simplicity, these models usually demonstrate good performance on text c...
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GloVe Word Embeddings
GloVe Word Embeddings Word embeddings After Tomas Mikolov et al. released the word2vec tool, there was a boom of articles about word vector representations. One of the best of these articles is Stanfo...
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Documents similarity
Documents similarity Documents similarity Document similarity (or distance between documents) is a one of the central themes in Information Retrieval. How humans usually define how similar are documen...
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text2vec
text2vec text2vec: Consistent - expose unified interfaces, no need to explore new interface for each task; Flexible - allow to easily solve complex tasks; Fast - maximize efficiency per single thread,...
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Topic modeling
Topic modeling 2018-12-21 Topic modeling is technique to extract abstract topics from a collection of documents. In order to do that input Document-Term matrix usually decomposed into 2 low-rank matri...
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Collocations
Collocations 2018-12-21 It this tutorial I will show how to extract phrases from text and how they can be used in downstream tasks. I will use text8 dataset which is available for download here. It c...