Introduction Text analysis has traditionally been dominated by qualitative methods, with the two most common being interpretive close reading and systematic qualitative coding. Both are limited by human reading speed, making them unsuitable for analyzing extremely large corpora. Currently, two popular quantitative text analysis methods are semantic network analysis and topic modeling. While both make … Read more
Click the above “Language Services” to subscribe. Language Data Mining and Python Programming | Course Name | Language Data Mining and Python Programming | Course Introduction | Python is a high-level programming language with a simple and easy-to-learn syntax structure. It emphasizes code readability and clarity, making it an ideal choice for beginners to start … Read more
Introduction Second Season of Computational Social Science Reading Club In the seventh session, we invite Dr. Jiaxin Pei from the University of Michigan, Ann Arbor, to introduce the basic process of Natural Language Processing (NLP) and focus on how to extend traditional manual coding to large-scale automated text analysis. Based on this, we will discuss … Read more
Overview Details The Relationship Between This Sharing and the Computational Social Science Reading Group Text analysis is a very important research method in social sciences; however, the traditional manual coding method severely limits the sample size that can be researched, making it difficult to apply to large-scale data analysis. In this session, I will introduce … Read more
This article is reproduced from the public account: AI Beginner’s Guide The editor says: Author Le Yuquan, a master’s student at Hunan University, focuses on machine learning and natural language processing, and has published several articles in conferences/journals such as IJCAI and TASLP. This article is a summary of the author’s learning process. Friends with … Read more
This article was first published on WeChat public account “Intelligent Cube“ Author Introduction: Liu Zhiyuan, Assistant Researcher at Tsinghua University, Senior Member of the China Computer Federation. He obtained his PhD from Tsinghua University in 2011 and won the Excellent Doctoral Dissertation Award from the Chinese Association for Artificial Intelligence. His main research areas are … Read more
Core Viewpoints The article uses the CNKI detection system and the Jianziyuan detection system to test 10 legal paper abstracts generated by ChatGPT and 10 legal paper abstracts rewritten by other AIs, to verify the AI identification capabilities of the detection tools; by analyzing the detection results, it summarizes the technical defects of the detection … Read more
The gensim library in Python can train and use the Word2Vec model, and there is a corresponding word2vec package in R. Word2Vec is one of the most commonly used techniques in word embedding. If you are not familiar with word embeddings, you can read the previous articles. Reprint | Expanding Research Methods in Social Sciences … Read more
▼ Click the card below to follow me NLTK: The Swiss Army Knife for Language Analysis! In the programming world, there is a library called NLTK, which is like a super language detective that helps us deconstruct and understand the various secrets of human language. Imagine having a magical tool that can segment, tag, and … Read more
Master Natural Language Processing: A Beginner’s Guide to NLTK Hello everyone! Today, I want to talk about a powerful text processing tool in the Python world – NLTK (Natural Language Toolkit). As a Python enthusiast, I was amazed by its powerful text analysis capabilities the first time I encountered NLTK. This library helps us easily … Read more