Easily Process Text Data in New Financial Risk Control Scenarios Using Word2vec

Easily Process Text Data in New Financial Risk Control Scenarios Using Word2vec

Submitted by Tang Zhengyang | Market Manager at CreditX Big Data Digest looks forward to receiving various excellent submissions Submission email: [email protected] “In the current more inclusive market environment, the customer base and scope of new financial services have further deepened and expanded, with business forms tending to be more small, dispersed, high-efficiency, and scalable. … Read more

Summary of Word2Vec in Natural Language Processing

Summary of Word2Vec in Natural Language Processing

This is a relatively early summary article. Although the content is simple, I personally find it easy to understand. Word2Vec is the cornerstone of natural language processing technology, and a deep understanding of the principles of Word2Vec is crucial for NLP practitioners. For a long time, I have been unclear about the implementation reasons behind … Read more

Evaluating fastText Algorithm by Word2Vec Author

Click on the top “MLNLP“, select to add “starred” or “top” Heavyweight content delivered first time Editor: Yi Zhen https://www.zhihu.com/question/48345431 This article is for academic sharing only, if there is infringement, the article will be deleted. How to Evaluate fastText Algorithm Proposed by Word2Vec Author?Does Deep Learning Have No Advantage in Simple Tasks like Text … Read more

TensorFlow: Essential Tool for Machine Learning Engineers

TensorFlow: Essential Tool for Machine Learning Engineers

Click the blue text above to follow us TensorFlow: Essential Tool for Machine Learning Engineers Recently, while working on a deep learning project, I found TensorFlow to be an excellent tool. It is not only powerful but also very easy to use. Today, let’s discuss the basics of TensorFlow and see how it helps us … Read more

Exploring the Boundaries of NLP with Deep Learning

Exploring the Boundaries of NLP with Deep Learning

▲Click above Leifeng Network to follow The Four Major Boundaries: Data Boundary, Semantic Boundary, Symbolic Boundary, and Causal Boundary Written by | Cong Mo Currently, deep learning in natural language processing has its limitations. So where are the boundaries of its effectiveness? This is a question we should ponder deeply. Recently, at the Fourth Language … Read more

Oxford x DeepMind NLP Course Video – Word Vectors and Semantic

Oxford x DeepMind NLP Course Video - Word Vectors and Semantic

A Big Data Digest production, reprint requirements see the end of the article. Big Data Digest proudly presents the University of OxfordDeep Learning and Natural Language Processing Course (Deep NLP) dubbed video! Lecture 2a-1 Word Vectors and Lexical Semantics (Part 1) Content of this session: Taught by Ed Grefenstette from DeepMind, discussing word vectors and … Read more

The Slower Development of NLP Compared to CV

The Slower Development of NLP Compared to CV

Author | Howard Source | Zhihu 1. NLP’s Head Start The history of NLP development is quite early, as the need for language processing has existed since the invention of computers. Various string algorithms have been intertwined with the history of computer development. The great Chomsky proposed generative grammar, which is the most basic framework … Read more

Knowledge-Guided Natural Language Processing by Liu Zhiyuan

Knowledge-Guided Natural Language Processing by Liu Zhiyuan

Reprinted with permission from AI TIME Discussion Author: Liu Zhiyuan Editor: Gege “Language is like amber, preserving many precious and wonderful thoughts safely inside.” Since the dawn of humanity, natural language has carried the wisdom of generations, accumulating endless knowledge. This rich treasure of knowledge has attracted many curious AI researchers to cultivate, explore, and … Read more

Introduction to Natural Language Processing Tasks

Introduction to Natural Language Processing Tasks

Author: Le Yuquan, a master’s student at Hunan University, focusing on machine learning and natural language processing, has published several articles in conferences/journals such as IJCAI and TASLP. This article is a summary of the author’s learning process. Like-minded friends are welcome to follow the author’s WeChat public account “AI Beginner” for discussions and learning … Read more

Computer Vision: Practice Is More Important Than Theory!

Computer Vision: Practice Is More Important Than Theory!

Fingerprint unlocking, facial recognition, speech-to-text conversion, robots diagnosing illnesses, AlphaGo······ We have deeply felt that artificial intelligence is changing the way we work and perceive the world. According to a report by SAS on the readiness of enterprises for artificial intelligence, most companies believe that AI is still in its early stages, “Currently, many application … Read more