Unveiling Word2Vec: A Small Step in Deep Learning, A Giant Leap in NLP

Unveiling Word2Vec: A Small Step in Deep Learning, A Giant Leap in NLP

Click the “AI Park” above to follow the public account, and choose to add a “star” or “top” Author: Suvro Banerjee Translated by: ronghuaiyang Prelude In NLP today, word vectors are indispensable. Word vectors provide us with a very good vector representation of words, allowing us to represent all words with a fixed-length vector, and … Read more

An Overview of the Word2vec Skip-Gram Model

An Overview of the Word2vec Skip-Gram Model

New Media Manager Author Introduction Liú Shūlóng, currently an engineer in the technology department of Daguan Data, with interests primarily in natural language processing and data mining. Word2vec is one of the achievements of the Google research team, and as a mainstream tool for obtaining distributed word vectors, it has a wide range of applications … Read more

In-Depth Understanding of Word2Vec

In-Depth Understanding of Word2Vec

Deep Learning Author: louwill From: Deep Learning Notes Language models are one of the core concepts in natural language processing. Word2Vec is a neural network-based language model and a method for word representation. Word2Vec includes two structures: skip-gram and CBOW (Continuous Bag of Words), but essentially both are operations for dimensionality reduction of vocabulary. Word2Vec … Read more

In-Depth Analysis of the Word2Vec Model

In-Depth Analysis of the Word2Vec Model

“ This article provides a detailed explanation of the two structures in word2vec: CBOW and skip-gram, as well as the two optimization techniques: hierarchical softmax and negative sampling. Understanding these details and principles of the word2vec algorithm is very helpful!” Source: TianMin https://zhuanlan.zhihu.com/p/85998950 Word2vec is a lightweight neural network model that consists of an input … Read more