Technical Column Author: Yang Hangfeng Editor: Zhang Nimei 1.Word2Vec Overview Word2Vec is simply a method of representing the semantic information of words through learning from text and using word vectors, that is, mapping the original word space to a new space through Embedding, so that semantically similar words are close to each other in this … Read more
Author：louwill From：Deep Learning Notes The language model is one of the core concepts in natural language processing. Word2Vec is a language model based on neural networks, and it is also a vocabulary representation method. Word2Vec includes two structures: skip-gram and CBOW (Continuous Bag of Words), but essentially both are a dimensionality reduction operation on vocabulary. … Read more
1 Meaning of Word2Vec A word cannot be understood by a neural network; it needs to be converted into numbers before being fed into it. The most naive way is one-hot encoding, but it is too sparse and not effective. So we improve it by compressing one-hot into a dense vector. The word2vec algorithm predicts … Read more
1 Introduction This article mainly introduces a very classic algorithm in word embedding, Word2Vec. Initially, Word2Vec was primarily used in text-related problems, but now friends participating in competitions should have noticed that almost half of the traditional data competitions involve Word2Vec. Therefore, we must take a good look at what Word2Vec is actually learning, so … Read more
Li Zi from Ao Fei Si Quantum Bit | WeChat Official Account QbitAI Word2Vec is a language tool open-sourced by Google in 2013. A two-layer network can turn words into vectors, which is crucial in the NLP field and the foundation for many functionalities. However, now a programmer named bollu (short for Pineapple) loudly tells … Read more
Introduction References Main Content Dataset Model Training Model Evaluation Model Tuning Extensions Bonus Introduction Hello everyone, I am a dropout from Royal Bruster University of Data Mining, I drink the strongest orange juice and dig the deepest corners—persistent as I am. Last week, I impulsively dug a big pit of Word2vec, leaving the practical part … Read more
Paper Weekly WeChat Official Account: paperweekly Introduction Since its introduction, Word2Vec has become a fundamental component of deep learning in natural language processing. Various deep learning models rely on Word2Vec for word-level embeddings when representing words, phrases, sentences, paragraphs, and other text elements. The author of Word2Vec, Tomas Mikolov, is a scholar who has produced … Read more
Authorized by WeChat account Data Mining Machine Cultivation Diary Author | Mu Wen This article is exclusively authorized for reprint by “Big Data Digest” and prohibits all other forms of reprint without the author’s permission. Hello everyone, my name is Data Mining Machine, I dropped out of Royal Bruster University, I drink the strongest orange … Read more
Click the “MLNLP” above, and select “Star” to follow the public account Heavyweight content delivered first-hand Editor: Yizhen https://www.zhihu.com/question/321088108 This article is for academic exchange and sharing. If there is any infringement, it will be deleted. The author found an interesting question on Zhihu titled “Why can negative sampling in word2vec achieve results similar to … Read more
The original article was published on the public account: A Confession of a Fortune-Telling Engineer. Feel free to follow at the end of the article to receive various reliable and unreliable updates from the author. Paper Title: Neural Word Embedding as Implicit Matrix Factorization This is an article from NIPS 2014, which is quite old. … Read more