Click the “MLNLP” above, and choose to add “star” or “top” Heavyweight content delivered promptly Reprinted from the public account: Deep Learning Natural Language Processing Citation How do people conveniently browse and obtain information from a large amount of text? The answer is certainly through keywords. Think about it carefully, how do we extract keywords? … 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
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
Author: Liu Jianping Pinard Blog Address: https://www.cnblogs.com/pinard Original Link, click to read the full text directly: https://www.cnblogs.com/pinard/p/7278324.html In the Word2Vec principle article, we summarized the two models of Word2Vec: CBOW and Skip-Gram, as well as the two solutions: Hierarchical Softmax and Negative Sampling. Word2Vec Principle Article | Basics of CBOW and Skip-Gram Models Word2Vec Principle … Read more
Word2Vec: An Extremely Useful Python Library! Sometimes, when we are processing text data, we need to convert words into vectors to help computers understand. At this point, <span>word2vec</span> can be very helpful! It transforms words into low-dimensional vectors through a neural network model, making similar words’ vectors closely positioned. This article will give you a … Read more
In today’s digital age, language processing technology is changing our lives and work at an unprecedented speed. From smart voice assistants to automatic translation software, from search engine optimization to sentiment analysis tools, the applications of natural language processing (NLP) are everywhere. Behind all this lies a key technology—the word vector model. Today, we will … Read more
A crucial step in training a chatbot is word vector training. Whether it’s a generative chatbot or a retrieval-based chatbot, it is necessary to convert text into word vectors. The most popular word vector training model nowadays is Word2Vec. Today, I will guide you through training word vectors using Chinese Wikipedia. Training Data Download We … Read more
Introduction References Main Content Dataset Model Training Model Evaluation Model Tuning Extensions Bonus Introduction Hello everyone, I am a dropout from Royal Bruster University of Data Mining, I drink the strongest orange juice and dig the deepest corners—persistent as I am. Last week, I impulsively dug a big pit of Word2vec, leaving the practical part … Read more
Authorized by WeChat account Data Mining Machine Cultivation Diary Author | Mu Wen This article is exclusively authorized for reprint by “Big Data Digest” and prohibits all other forms of reprint without the author’s permission. Hello everyone, my name is Data Mining Machine, I dropped out of Royal Bruster University, I drink the strongest orange … Read more
Click on the “MLNLP” above and select “Star” to follow the public account Heavyweight content delivered to you first Editor: Yi Zhen https://www.zhihu.com/question/329708785 This article is for academic exchange and sharing only; if there is infringement, the article will be deleted. The author found an interesting question on Zhihu: What to do when Word2Vec lacks … Read more