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Natural Language Processing, or NLP for short, is broadly defined as the automatic manipulation of natural language, like speech and text, by software and basically a subset of machine learning that lets us extract insights from text data.

Home Page: https://medium.com/@bsangramsing/building-a-natural-language-processing-pipeline-9d93fa8ebdfb

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nlp text-classification part-of-speech-tagging classifier text-lemmatization stop-words dependency-parsing

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Natural Language Processing http://bio.nlplab.org/#word-vectors

Word vectors Word vectors were induced from PubMed and PMC texts and their combination using the word2vec tool. The word vectors are provided in the word2vec binary format.

The word vectors are available for download from the following directory: http://evexdb.org/pmresources/vec-space-models/ We also provide a set of word vectors induced on a combination of PubMed and PMC texts with texts extracted from a recent English Wikipedia dump. To get started with word vectors induced from a large corpus of biomedical and general-domain texts, download these vectors here (4GB file).

Natural-Language-Processing

Natural-Language-Processing

Text-Classification

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