Natural-Language-Processing-NLP-Tutorial

A word2vec negative sampling implementation with correct CBOW update.

? Python Implementation and Extension of RDF2Vec

结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、PCA、SVD

The Continuous Bag-of-Words model (CBOW) is frequently used in NLP deep learning. It's a model that tries to predict words given the context of a few words before and a few words after the target word.

Docker Registry Frontend/ Docker Registry UI

TensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.

A word2vec port for Windows.

Next Word Prediction using n-gram Probabilistic Model with various Smoothing Techniques

nlp lecture-notes and source code

Code for Attention Word Embeddings