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
Open Source Frontline (ID: OpenSourceTop) compiled by Yuan Mei Compiled from: https://www.kdnuggets.com/2018/07/comparison-top-6-python-nlp-libraries.html Nowadays, Natural Language Processing (NLP) has become increasingly popular, especially in the context of deep learning. NLP is one of the fields of artificial intelligence that aims to understand and extract important information from text, and to further train based on text data. … Read more
1 Let A, B, C, D represent four different Chinese words. After calculating with word2vec, we obtain the following word vectors: A=[-1,0.5,0.75] B=[1,-0.5,-0.75] C=[-0.25,-2,1] D=[-0.24,-2.1,0.99] If A represents the word “excellent” and C represents “celebrate,” what words might B and D represent respectively? Why? Reference Answer: It is relatively easy to deduce that D is … Read more
Follow the official account “ML_NLP“ Set as “Starred“, valuable content delivered to you first! Author: Yang Chongyang, Harbin Institute of Technology SCIR 1. Introduction Traditional natural language processing methods are interpretable, including rule-based methods, decision tree models, hidden Markov models, logistic regression, etc., which are also known as white-box techniques. In recent years, deep learning … Read more
MLNLP Community is a well-known machine learning and natural language processing community in China and abroad, covering NLP graduate students, university teachers, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for the progress of beginners. … 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
Source: AI Scientist Summary: As hierarchical control accumulates more wealth, the rise of automation is leading to fewer jobs for the working class. How will the working class survive in the future? A university professor had a brilliant idea; his logic is clear: players with RMB are the financial backers of gaming companies, and to … 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
Since the popularization of the Internet, the overwhelming, complex, and uncertain authenticity of information has been troubling users. Although tools such as search engines, directories, and manually edited communities can provide some assistance, the accuracy and convenience of these tools are still insufficient, urgently requiring a shift towards intelligent, precise, professional, and personalized user-centered intelligent … Read more
Guest Speaker | Yuxiang Wu Transcript Organizer | Lin Zhang Guest Speaker Introduction Yuxiang Wu, PhD from University College London.Currently pursuing a PhD at University College London (UCL), under the supervision of Professor Sebastian Riedel and Professor Pontus Stenetorp.His research areas include Natural Language Processing and Machine Learning, with a current focus on pre-trained language … Read more