Abstract

With the development and popularization of the Internet and the rapid development of e-commerce platforms, resulting in a huge amount of commodity short text. Research on short text classification of commodities is of great significance to commodity circulation, consumer behavior research and advertising push. This paper takes the commodity short text data set as the object, and the Convolutional Neural Network (CNN) algorithm based on deep learning is used to construct the classification model. Experimental results show that CNN algorithm is better than traditional machine learning algorithms (Naive Bayes(NB), K Nearest Neighbor(KNN) and Support Vector Machine(SVM)) in commodity short text classification.

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