0Introduction Nowadays, discussions about machine learning, deep learning, and artificial neural networks are becoming more prevalent. However, programmers often just want to use these magical frameworks without wanting to understand how they actually work. But if we can grasp the principles behind them, wouldn’t it be better for their usage? Today, we will discuss recurrent … Read more
Click on the “MLNLP” above to select the “Starred” public account Heavyweight content delivered first-hand Authors: Wu Yang, Hu Xiaoyu, Lin Zijie from Harbin Institute of Technology SCIR Introduction With the rapid development of social networks, the ways people express themselves on platforms have become increasingly rich, such as expressing their emotions and opinions through … Read more
Dialogue analysis uses output from:Using proxies to bring NPCs to life with CrewAI Analysis • Simulation 1: A group of software engineers, computer scientists, and computer engineers • Conclusion • Support Analysis Methods • Extracted Features • Split global_conversations.txt • Sentiment, Topic, Vocabulary Diversity, Emotion • Self-Similarity • Notebook Background Previously, I discussed in my … Read more
CNN and RNN are the two most commonly used deep learning network structures in deep learning, and some students may still be unclear about the differences between these two networks. Now let’s illustrate the specific applications of CNN and RNN with a diagram: One to One: This represents the scenario of the CNN network, from … Read more
Click the “MLNLP” above and select the “Starred” public account Heavyweight content delivered first Author: Jay Alammar, Translated by Qbit AI BERT, as a key player in the field of natural language processing, is something that NLPer can’t avoid. However, for those with little experience and weak foundations, mastering BERT can be a bit challenging. … Read more
Source: “Communications of the China Computer Federation” 2015 Issue 3 “Special Topic” Authors: Liu Shujie, Dong Li, Zhang Jiajun, et al. Introduction to Deep Learning Deep learning is one of the most rapidly developing fields in machine learning in recent years. Strictly speaking, deep learning is not a completely new machine learning method, but a … Read more
Case Background Sentiment analysis is an application area of natural language processing (NLP) that aims to understand and analyze the emotions expressed by people in text. This is very useful in areas such as product reviews, social media monitoring, and brand reputation management. Algorithm Principle: Naive Bayes Classifier The Naive Bayes classifier is a simple … Read more
Introduction Natural Language Processing is a subfield of computer science, information engineering, and artificial intelligence, which involves the interaction between computers and human languages, processing and analyzing large amounts of natural language data through programming. 1Natural Language Processing(NLP) = Computer Science + AI + Computational Linguistics In other words, natural language processing is the ability … Read more
The 2023 Zhejiang Programmer Festival is in full swing, and as part of the series of events, the knowledge sharing activity will successively launch the 【Artificial Intelligence Special】 knowledge sharing, including the development of AI large models, cutting-edge technologies, learning resources, etc. Stay tuned!The content of this issue is:BERT Model | Understanding Advanced Techniques and … Read more
Follow our public account “ML_NLP“ Set as “Starred“, heavy content delivered to you first! Source | Zhihu Address | https://zhuanlan.zhihu.com/p/31096913 Author | Datartisan Editor | Machine Learning Algorithms and Natural Language Processing Public Account This article is for academic sharing only. If there is any infringement, please contact the background for deletion. This article will … Read more