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Training word embeddings in Python part 2 | Word2Vec tutorial

In this video, we will about training word embeddings by writing a python code. So we will write a python code to train word embeddings. To train word embeddings, we need to solve a fake problem. This ...
IEEE

Audio Word2vec: Sequence-to-Sequence Autoencoding for Unsupervised Learning of Audio Segmentation and Representation

Abstract: In text, word2vec transforms each word into a fixed-size vector used as the basic component in applications of natural language processing. Given a large collection of unannotated audio, ...
GitHub

A pipeline for training word embeddings using word2vec on wikipedia corpus.

Download the latest English wikipedia dump Extract and clean texts from the downloaded wikipedia dump Pre-process the wikipedia corpus Train word2vec model on the processed corpus to produce word ...
IEEE

Comparison of Word2vec and Doc2vec Methods for Text Classification of Product Reviews

Abstract: Word Embedding is the optimal tool for many Natural Language Processing (NLP) tasks, especially those that require native input as a text feature. In this study, we will try to compare the ...