A Tag Recommendation Method for Question Answering Community Based on Regional Convolutional Neural Network

Abstract

The present invention relates to a question-and-answer community tag recommendation method based on regional convolutional neural network, specifically involves performing data preprocessing on question data sets in the question-and-answer community, and then generating sentence vectors by establishing a dictionary. In the convolution layer, the Each word in each question in the data set is processed by word embedding, and then the sentence vector is trained with the regional convolutional neural network model, and finally the trained model is used to recommend tags for new questions in the Q&A community. It has the following outstanding features and advantages: First, it introduces a two-way circular convolution layer to represent words in combination with the context of words, which can better reflect the connection between words in sentences, and the two-way loop structure can accurately capture the context of words; Second, the ability of convolutional neural networks to process large images allows them to handle larger data sets; third, the mobility of convolutional neural networks in image processing makes them useful in label recommendation. Migration.

Description

technical field [0001] The invention relates to a question-answering community label recommendation method based on a regional convolutional neural network. Background technique [0002] With the rapid development of the Internet, more and more IT enthusiasts seek help, share experience, and learn new technology knowledge on the Internet, resulting in the emergence of various developer Q&A communities, software information sites like StackOverflow and Freeecode It can provide information sharing and communication for developers all over the world. [0003] To facilitate proper categorization and efficient search, developers need to provide tags for their releases. However, tagging is inherently an incoherent process that depends not only on the developer's understanding of their own posts, but also on other factors, including the developer's English skills and knowledge of existing posts. [0004] So developers keep creating new ones even though the existing ones are enoug...

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to provide a label recommendation method based on the regional convolutional neural network for the deficiencies in the label recommendation of the current question-and-answer community, which first performs data preprocessing on the question data set in the question-and-answer community, and then generates sentence vectors by establishing a dictionary , in the convolutional layer, word embedding is performed on each word in each question in the data set, and then the sentence vector is trained with the regional convolutional neural network model, and finally the trained model is used to analyze the Label recommendation for new questions

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