Python Practical Guide: Implementing Natural Language Processing

Python Practical Guide: Implementing Natural Language Processing

Python Practical Guide: Implementing Natural Language Processing Hello everyone, I’m Ah Xiang, and today we are going to talk about the applications of Python in Natural Language Processing (NLP). NLP sounds impressive, but it is essentially about using computers to process and understand human language. Isn’t that cool? Let’s see how to use Python for … Read more

Spacy: The Expert in Python Natural Language Processing

Spacy: The Expert in Python Natural Language Processing

Spacy: The Expert in Python Natural Language Processing Hello everyone, I am an experienced Python tutorial author. Today, we are going to learn about a powerful and efficient Python natural language processing library—Spacy. Whether you want to build intelligent dialogue systems, text classification engines, or applications for information extraction and data parsing, Spacy can provide … Read more

Two Paths from Natural Language Processing to AI

Two Paths from Natural Language Processing to AI

This is a work from Big Data Digest. For reprint requirements, please see the end of the article. Translation Team | Han Yang, Fan Yuecan, Mao Li, Cao Xiang We are now in a world where machines think, learn, and create. Furthermore, their capabilities to do these things will rapidly increase, until in a foreseeable … Read more

Getting Started: How Natural Language Processing Works

Getting Started: How Natural Language Processing Works

Selected from Medium Author: Adam Geitgey Translated by Machine Heart Contributors: Weng Junjian, Liu Xiaokun Computers are better at understanding structured data, so asking them to understand human language, which is primarily based on cultural habits, is quite challenging. So how has natural language processing achieved success? It is by structuring human language (as much … Read more

Essential NLP Techniques: Learn 10 Key Methods with Code

Essential NLP Techniques: Learn 10 Key Methods with Code

Big Data Digest Compiled by: Tang Zhuzhi, Wu Shuang, Qian Tianpei Natural Language Processing (NLP) is a combination of art and science aimed at extracting information from text data. With its help, we extract information suitable for computer algorithms from text. From automatic translation, text classification to sentiment analysis, NLP has become an essential skill … Read more

Quick Introduction to Natural Language Processing (NLP)

Quick Introduction to Natural Language Processing (NLP)

[Introduction] Natural Language Processing has become an important branch of artificial intelligence, which studies various theories and methods that enable effective communication between humans and computers using natural language. This article provides a brief introduction to Natural Language Processing to help readers quickly get started. Author | George Seif Compiled by | Xiaowen An Easy … Read more

How to Monetize Research with Generative AI

How to Monetize Research with Generative AI

Introduction:Among the many empowered industries, AI+Investment Research has become a hot track. Accurately predicting the future and making the right decisions at critical moments is a dream scenario for countless people. Thanks to advancements in algorithms, this reality is getting closer to humanity. In 2012, Peter Turchin, a professor of ecology and mathematics at the … Read more

Understanding RNN: A Beginner’s Guide to Machine Learning

Understanding RNN: A Beginner's Guide to Machine Learning

By Jiao Fa from Aofeisi Quantum Bit Report | WeChat Official Account QbitAI This tutorial is written for beginners in machine learning and will introduce what a Recurrent Neural Network (RNN) is. Recurrent Neural Networks are specifically designed to handle sequences. Due to their effectiveness in processing text, they are often used in Natural Language … Read more

Exploring Parallel Computation in Non-Linear RNNs

Exploring Parallel Computation in Non-Linear RNNs

©PaperWeekly Original · Author | Su Jianlin Affiliation | Scientific Space Research Direction | NLP, Neural Networks In recent years, linear RNNs have attracted some researchers’ attention due to their characteristics such as parallel training and constant inference costs (for example, my previous article titled “Google’s New Work Attempts to ‘Revive’ RNN: Can RNN Shine … Read more

A Beginner’s Guide to Using RNNs

A Beginner's Guide to Using RNNs

Excerpt from Medium Author: Camron Godbout Translated by: Machine Heart Contributors: Duxiade What are Recurrent Neural Networks (RNNs) and how do we use them? This article discusses the basics of RNNs, which are increasingly popular deep learning models. The intention of this article is not to delve into the obscure mathematical principles but to provide … Read more