基于注意力机制的网络文本分类系统研究任务书

 2021-10-27 09:10

1. 毕业设计(论文)的内容和要求

从20世纪60年代开始,文本分类就开始被人研究,早期的文本分类算法主要基于知识工程,也就是采用人工定义的手工规则来进行条件式的分类,这种方式不但工作量巨大,而且效率低下,需要对专业领域有足够的了解才能得到比较合适的规则。

随着互联网的建立和发展,传统方法己经不能满足爆炸式增长的海量数据的分类需求。

到了90年代,一方面互联网飞速发展,在线文本大量涌现,另一方面机器学习己经兴起,人们开始研究大规模的文本分类和检索方法。

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2. 参考文献

[l]靳小波.文本分类综述[[J].自动化博览,2006, 23(S1):24-29.[2]G.Salton, A Wong, C.S. Yang.A vector space model for automaticindexing[J].Communications of the ACM, 1975, 18(11): 613-620.[3] T. K. Landauer, P. W. Foltz, D. Laham. An introduction to latent semantic analysis[J]. Discourse Processes, 1998, 25(2-3): 259-284.[4] T. Hofmann. Probabilistic latent semantic analysis[C]. Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence. Morgan Kaufmann Publishers Inc. 1999: 289-296.[5]D. M. Blei, A. Y. Ng, M. I. Jordan. Latent dirichlet allocation[J]. Journal of Machine Learning Research, 2003, 3(Jan): 993-1022.[6]Q. Le, T. Mikolov. Distributed representations of sentences and documents[C]. Proceedings of the 31st International Conference on Machine Learning (ICML-14). 2014: 1188-1196.[7]J. Y. Lee, F. Sequential Short-Text Classification with Recurrent and Convolutional NeuralNetworks[C]. Proceedings of NAACL-HLT. 2016: 515-520.[8] M. Baroni, G. Dinu, G. Kruszewski. Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors[C]. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2014, 1: 238-247.[9]P. F. Brown, P. V. Desouza, R. L. Mercer, et al. Class-based n-gram models of natural language[J].Computational Linguistics, 1992, 18(4): 467-479.[10] F. Pereira, N. Tishby, L. Lee. Distributional clustering of English words[C]. Proceedings of the 31st annualmeetingonAssociationforComputationalLinguistics.Association for Computational Linguistics, 1993: 183-190.[1l] Y. Bengio, R. Ducharme, P. Vincent, et al. A neural probabilistic language model[J]. Journal of Machine Learning Research, 2003, 3(Feb): 1137-1155.[12] F. Morin, Y. Bengio. Hierarchical Probabilistic Neural Network Language Model[C]. Aistats.2005. 5: 246-252.

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