Computer Science ›› 2020, Vol. 47 ›› Issue (10): 222-227.doi: 10.11896/jsjkx.190900173
• Artificial Intelligence • Previous Articles Next Articles
WANG Qi-fa, WANG Zhong-qing, LI Shou-shan, ZHOU Guo-dong
CLC Number:
[1]FAN W,SUN S.Sentiment classification for online comments on Chinese news[C]//International Conference on Computer Appli-cation & System Modeling.IEEE,2010. [2]NING Y,ZHU T,WANG Y.Affective-word based Chinese text sentiment classification[C]//International Conference on Pervasive Computing & Applications.IEEE,2011. [3]SU Z,HUA X,ZHANG D,et al.Chinese sentiment classification using a neural network tool-Word2vec[C]//International Conference on Multisensor Fusion & Information Integration for Intelligent Systems.2014. [4]ZHANG D,XU H,SU Z,et al.Chinese comments sentimentclassification based on word2vec and SVMperf[J].Expert Systems with Applications,2015,42(4):1857-1863. [5]ABDULLIN Y B,IVANOV V V.Deep learning model for bilingual sentiment classification of short texts[J].Naucˇno-tehnicˇeskijVestnik Informacionnyh Tehnologij,2017,17(1):129-136. [6]ZHOU S,CHEN Q,WANG X.Active deep networks for semi-supervised sentiment classification[C]//Proceedings of the 23rd International Conference on Computational Linguistics:Posters.Association for Computational Linguistics,2010:1515-1523. [7]LECUN Y,BOTTOU L,BENGIO Y,et al.Gradient-basedlearning applied to document recognition[J].Proceedings of the IEEE,1998,86(11):2278-2324. [8]KIM Y.Convolutional Neural Networks for Sentence Classification[C]//Proceedings of the 2014 conference on empirical methods in natural language processing.2014:1746-1751. [9]CAO Y,XU R,CHEN T.Combining Convolutional Neural Network and Support Vector Machine for Sentiment Classification[C]//Proceedings of the Meeting of the Chinese National Conference on Social Media Processing.2015:144-155. [10]TANG D,QIN B,LIU T.Document modeling with gated recurrent neural network for sentiment classification[C]//Proceedings of the 2015 conference on empirical methods in natural language processing.2015:1422-1432. [11]HOCHREITER S,SCHMIDHUBER,JÜRGEN.Long Short-Term Memory[J].Neural Computation,1997,9(8):1735-1780. [12]WANG X,LIU Y,CHENGJIE S U N,et al.Predicting polarities of tweets by composing word embeddings with long short-term memory[C]//Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1:Long Papers).2015,1:1343-1353. [13]TAI K S,SOCHER R,MANNING C D.Improved SemanticRepresentations From Tree-Structured Long Short-Term Memory Networks [J].Computer Science,2015,5(1):36. [14]MNIH V,HEESS N,GRAVES A.Recurrent models of visual attention [J].Advances in Neural Information Processing Systems,2014(3):2204-2212. [15]BAHDANAU D,CHO K,BENGIO Y.Neural Machine Translation by Jointly Learning to Align and Translate [C]//Proceedings of the ICLR.2015:1-15. [16]LUONG M,MANNING C.D.Effective Approaches to Attention-based Neural Machine Translation [C]//Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing.2015:1412-1421. [17]YANG Z,YANG D,DYER C,et al.Hierarchical Attention Networks for Document Classification[C]//Proceedings of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies.2017:1480-1489. [18]LI Z,WEI Y,ZHANG Y,et al.Hierarchical attention transfer network for cross-domain sentiment classification[C]//Thirty-Second AAAI Conference on Artificial Intelligence.2018. [19]ZHOU X,WAN X,XIAO J.Attention-based LSTM network for cross-lingual sentiment classification[C]//Proceedings of the 2016 conference on empirical methods in natural language processing.2016:247-256 |
[1] | ZHAO Jia-qi, WANG Han-zheng, ZHOU Yong, ZHANG Di, ZHOU Zi-yuan. Remote Sensing Image Description Generation Method Based on Attention and Multi-scale Feature Enhancement [J]. Computer Science, 2021, 48(1): 190-196. |
[2] | LIU Yang, JIN Zhong. Fine-grained Image Recognition Method Combining with Non-local and Multi-region Attention Mechanism [J]. Computer Science, 2021, 48(1): 197-203. |
[3] | WANG Rui-ping, JIA Zhen, LIU Chang, CHEN Ze-wei, LI Tian-rui. Deep Interest Factorization Machine Network Based on DeepFM [J]. Computer Science, 2021, 48(1): 226-232. |
[4] | WANG Run-zheng, GAO Jian, HUANG Shu-hua, TONG Xin. Malicious Code Family Detection Method Based on Knowledge Distillation [J]. Computer Science, 2021, 48(1): 280-286. |
[5] | PAN Zu-jiang, LIU Ning, ZHANG Wei, WANG Jian-yong. MTHAM:Multitask Disease Progression Modeling Based on Hierarchical Attention Mechanism [J]. Computer Science, 2020, 47(9): 185-189. |
[6] | ZHAO Wei, LIN Yu-ming, WANG Chao-qiang, CAI Guo-yong. Opinion Word-pairs Collaborative Extraction Based on Dependency Relation Analysis [J]. Computer Science, 2020, 47(8): 164-170. |
[7] | YUAN Ye, HE Xiao-ge, ZHU Ding-kun, WANG Fu-lee, XIE Hao-ran, WANG Jun, WEI Ming-qiang, GUO Yan-wen. Survey of Visual Image Saliency Detection [J]. Computer Science, 2020, 47(7): 84-91. |
[8] | LIU Yan, WEN Jing. Complex Scene Text Detection Based on Attention Mechanism [J]. Computer Science, 2020, 47(7): 135-140. |
[9] | YU Yi-lin, TIAN Hong-tao, GAO Jian-wei and WAN Huai-yu. Relation Extraction Method Combining Encyclopedia Knowledge and Sentence Semantic Features [J]. Computer Science, 2020, 47(6A): 40-44. |
[10] | NI Hai-qing, LIU Dan, SHI Meng-yu. Chinese Short Text Summarization Generation Model Based on Semantic-aware [J]. Computer Science, 2020, 47(6): 74-78. |
[11] | HUANG Yong-tao, YAN Hua. Scene Graph Generation Model Combining Attention Mechanism and Feature Fusion [J]. Computer Science, 2020, 47(6): 133-137. |
[12] | ZHANG Zhi-yang, ZHANG Feng-li, CHEN Xue-qin, WANG Rui-jin. Information Cascade Prediction Model Based on Hierarchical Attention [J]. Computer Science, 2020, 47(6): 201-209. |
[13] | DENG Yi-jiao, ZHANG Feng-li, CHEN Xue-qin, AI Qing, YU Su-zhe. Collaborative Attention Network Model for Cross-modal Retrieval [J]. Computer Science, 2020, 47(4): 54-59. |
[14] | ZHANG Peng-fei, LI Guan-yu, JIA Cai-yan. Truncated Gaussian Distance-based Self-attention Mechanism for Natural Language Inference [J]. Computer Science, 2020, 47(4): 178-183. |
[15] | YU Shan-shan, SU Jin-dian, LI Peng-fei. Sentiment Classification Method for Sentences via Self-attention [J]. Computer Science, 2020, 47(4): 204-210. |
|