Natural Language Processing Author: Machine Learning Beginner Original Author: Jalammar, Translated by Huang Haiguang Since 2013, word2vec has been an effective method for word embedding. This article presents word2vec in an illustrated manner, with no mathematical formulas, making it very easy to understand, and is recommended for beginners to read. (Original Author: jalammar, Translation: Huang … Read more
Analyst Network of Machine Heart Author: Wang Zijia Editor: H4O This article starts from the ancestor level word2vec and systematically sorts out the “genealogy” of GPT and the large NLP “family group” led by word2vec. GPT did not emerge out of nowhere; it is the result of the efforts of many people and a long … Read more
Word2Vec: An Extremely Useful Python Library! Sometimes, when we are processing text data, we need to convert words into vectors to help computers understand. At this point, <span>word2vec</span> can be very helpful! It transforms words into low-dimensional vectors through a neural network model, making similar words’ vectors closely positioned. This article will give you a … Read more
After getting used to the operations of Word2Vec, today we will lift the lid and see what it’s really like inside. Word2Vec can transform words into vectors, which sounds quite magical, right? But once you understand the principle, you’ll find it’s just a little trick of assigning mathematical labels to words. Core Idea: Prediction Is … Read more
In today’s digital age, language processing technology is changing our lives and work at an unprecedented speed. From smart voice assistants to automatic translation software, from search engine optimization to sentiment analysis tools, the applications of natural language processing (NLP) are everywhere. Behind all this lies a key technology—the word vector model. Today, we will … Read more
Submission by Machine Heart Author: Tang Zhengyang The author of this article, Tang Zhengyang, is the Market Manager at CreditX. He provides a clear introduction to the deep learning technology Word2vec and its applications in the field of financial risk control. In the current more inclusive market environment, the customer base and scope of new … Read more
A crucial step in training a chatbot is word vector training. Whether it’s a generative chatbot or a retrieval-based chatbot, it is necessary to convert text into word vectors. The most popular word vector training model nowadays is Word2Vec. Today, I will guide you through training word vectors using Chinese Wikipedia. Training Data Download We … Read more
Introduction Remember not long ago in the field of machine reading comprehension, where Microsoft and Alibaba surpassed humans on SQuAD with R-Net+ and SLQA respectively, and Baidu topped the MS MARCO leaderboard with V-Net while exceeding human performance on BLEU? These networks can be said to be increasingly complex, and it seems that the research … Read more
Click on the “AI Youdao” above to select the “Top” public account Heavyweight content delivered first-hand This article is reproduced from Big Data Digest, secondary reproduction is prohibited Translated by Zhang Qiuyue, Yihang, Gao Yan, Long Xincheng Embedding is one of the most fascinating ideas in machine learning. If you have ever used Siri, Google … Read more
Click the “Expert Knowledge” above to follow and get professional AI knowledge! ▌Introduction The traditional Vector Space Model (VSM) assumes that feature items are independent of each other, which does not align with reality. To address this issue, a distributed representation of text (e.g., in the form of word embeddings) can be employed, representing text … Read more