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Popular pages

  • 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...

  • 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...

  • 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...

  • 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,...

  • 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...

  • 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...

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