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Understanding Word2Vec with Gensim and Elang (Python Packages)
100+ Chinese Word Vectors 上百种预训练中文词向量
Text preprocessing, representation and visualization from zero to hero.
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
? Contextually-keyed word vectors
A fast, efficient universal vector embedding utility package.
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
Compute Sentence Embeddings Fast!
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences