Notes of Web security in-depth learning practice: Chapter 8 harassment message recognition
This chapter mainly takes SMS Spam Collection data set as an example to introduce the identification technology of harassing SMS. This section explains in detail the feature extraction method of harassing SMS with Word2Vec.
Word2Vec model
1, Principle
Word2Vec is an efficient tool that Google opened in 2013 to represent words as real value v ...
Added by Maracles on Thu, 10 Mar 2022 13:51:35 +0200
Explain in detail the process of realizing Chinese text classification by CNN
Abstract: This paper mainly explains the process of realizing Chinese text classification by CNN, and compares it with Bayesian, decision tree, logistic regression, random forest, KNN, SVM and other classification algorithms.
This article is shared from Huawei cloud community< [Python artificial intelligence] 21 Detailed explanation of Wo ...
Added by snowplank on Tue, 15 Feb 2022 05:46:02 +0200
Word2vec (skip gram and CBOW) - PyTorch
Word vector is a vector used to express the meaning of words, and can also be regarded as the feature vector of words. The technology of mapping words to real vectors is called word embedding.
1, Word embedding (Word2vec)
The unique heat vector can not accurately express the similarity between different words. word2vec is proposed to so ...
Added by j0n on Fri, 11 Feb 2022 13:14:28 +0200
Advanced deep learning: introduction to natural language processing: Chapter 3 word2vec
Chapter 3 word2vec
The topic of this chapter is still the distributed representation of words. In the previous chapter, we obtained the distributed representation of words by using the counting based method. In this chapter, we will discuss the alternative method of this method, that is, the reasoning based method.
As the name suggests, t ...
Added by lansing on Thu, 09 Dec 2021 15:31:47 +0200