Computer Science ›› 2019, Vol. 46 ›› Issue (9): 223-228.doi: 10.11896/j.issn.1002-137X.2019.09.033
• Artificial Intelligence • Previous Articles Next Articles
SUN Zhong-feng, WANG Jing
CLC Number:
[1]CAMBRIA E,DAS D,BANDYOPADHYAY S,et al.A Practical Guide to Sentiment Analysis[M].Berlin:Springer International Publishing,2017. [2]DAS S R,CHEN M Y.Yahoo! For Amazon:Sentiment Extraction from Small Talk on the Web[J].Management Science,2007,53(9):1375-1388. [3]PANG B,LEE L,VAITHYANATHAN S.Thumbs up?:sentiment classification using machine learning techniques[EB/OL].http://www.doc88.com/p-1416919772501.html. [4]MNIHV,HEESS N,GRAVES A.Recurrent models of visualattention[C]//Proceedings of Advances in Neural Information Processing Systems 27(NIPS 2014).Cambridge,MA:MIT Press,2014:2204-2212. [5]BAHDANAU D,CHO K,BENGIO Y.Neural machine translation by jointly learning to align and translate[J].arXiv:1409.0473,2014. [6]YIN W,SCHüTZE H,XIANG B,et al.Abcnn:Attention-based convolutional neural network for modeling sentence pairs[J].Transactions of the Association for Computational Linguistics,2016,4(11):259-272. [7]WANG Y,HUANG M,ZHAO L,et al.Attention-based LSTM for aspect-level sentiment classification[C]//Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing.Austin,USA,2016:606-615. [8]KIRITCHENKO S,ZHU X,CHERRY C,et al.NRC-Canada-2014:Detecting Aspects and Sentiment in Customer Reviews[C]//International Workshop on Semantic Evaluation.Dublin:Ireland:Association for Computational Linguistics,2014:437-442. [9]HU M,LIU B.Mining and summarizing customer reviews[C]//Proceedings of the Tenth ACM SIGKDD International Confe-rence on Knowledge Discovery and Data Mining.New York:ACM,2004:168-177. [10]PORIA S,CAMBRIA E,GELBUKH A.Aspect extraction for opinion mining with a deep convolutional neural network[M].Amsterdam:Elsevier Science Publishers B.V.,2016:42-49. [11]TANG D,QIN B,LIU T.Aspect Level Sentiment Classification with Deep Memory Network[J/OL].https://arxiv.org/abs/1605.08900. [12]LECUN Y,BOTTOU L,BENGIO Y,et al.Gradient-basedlearning applied to document recognition[J].Proceedings of the IEEE,1998,86(11):2278-2324. [13]HOCHREITER S,SCHMIDHUBER J.Long short-term memory[J].Neural Computation,1997,9(8):1735-1780. [14]CHUNG J,GULCEHRE C,CHO K H,et al.Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling[J].arXiv:1412.3555,2014. [15]WANG J,YU L C,LAI K R,et al.Dimensional sentiment ana-lysis using a regional cnn-lstm model[C]//Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics.Berlin,Germany,2016:225-230. [16]KIM Y,JERNITE Y,SONTAG D,et al.Character-Aware Neural Language Models[J/OL].https://arxiv.org/abs/1508.06615. |
[1] | RAO Zhi-shuang, JIA Zhen, ZHANG Fan, LI Tian-rui. Key-Value Relational Memory Networks for Question Answering over Knowledge Graph [J]. Computer Science, 2022, 49(9): 202-207. |
[2] | TANG Ling-tao, WANG Di, ZHANG Lu-fei, LIU Sheng-yun. Federated Learning Scheme Based on Secure Multi-party Computation and Differential Privacy [J]. Computer Science, 2022, 49(9): 297-305. |
[3] | ZHOU Fang-quan, CHENG Wei-qing. Sequence Recommendation Based on Global Enhanced Graph Neural Network [J]. Computer Science, 2022, 49(9): 55-63. |
[4] | DAI Yu, XU Lin-feng. Cross-image Text Reading Method Based on Text Line Matching [J]. Computer Science, 2022, 49(9): 139-145. |
[5] | ZHOU Le-yuan, ZHANG Jian-hua, YUAN Tian-tian, CHEN Sheng-yong. Sequence-to-Sequence Chinese Continuous Sign Language Recognition and Translation with Multi- layer Attention Mechanism Fusion [J]. Computer Science, 2022, 49(9): 155-161. |
[6] | XU Yong-xin, ZHAO Jun-feng, WANG Ya-sha, XIE Bing, YANG Kai. Temporal Knowledge Graph Representation Learning [J]. Computer Science, 2022, 49(9): 162-171. |
[7] | XIONG Li-qin, CAO Lei, LAI Jun, CHEN Xi-liang. Overview of Multi-agent Deep Reinforcement Learning Based on Value Factorization [J]. Computer Science, 2022, 49(9): 172-182. |
[8] | WANG Jian, PENG Yu-qi, ZHAO Yu-fei, YANG Jian. Survey of Social Network Public Opinion Information Extraction Based on Deep Learning [J]. Computer Science, 2022, 49(8): 279-293. |
[9] | HAO Zhi-rong, CHEN Long, HUANG Jia-cheng. Class Discriminative Universal Adversarial Attack for Text Classification [J]. Computer Science, 2022, 49(8): 323-329. |
[10] | JIANG Meng-han, LI Shao-mei, ZHENG Hong-hao, ZHANG Jian-peng. Rumor Detection Model Based on Improved Position Embedding [J]. Computer Science, 2022, 49(8): 330-335. |
[11] | CHEN Yong-quan, JIANG Ying. Analysis Method of APP User Behavior Based on Convolutional Neural Network [J]. Computer Science, 2022, 49(8): 78-85. |
[12] | ZHU Cheng-zhang, HUANG Jia-er, XIAO Ya-long, WANG Han, ZOU Bei-ji. Deep Hash Retrieval Algorithm for Medical Images Based on Attention Mechanism [J]. Computer Science, 2022, 49(8): 113-119. |
[13] | SUN Qi, JI Gen-lin, ZHANG Jie. Non-local Attention Based Generative Adversarial Network for Video Abnormal Event Detection [J]. Computer Science, 2022, 49(8): 172-177. |
[14] | YAN Jia-dan, JIA Cai-yan. Text Classification Method Based on Information Fusion of Dual-graph Neural Network [J]. Computer Science, 2022, 49(8): 230-236. |
[15] | WANG Ming, PENG Jian, HUANG Fei-hu. Multi-time Scale Spatial-Temporal Graph Neural Network for Traffic Flow Prediction [J]. Computer Science, 2022, 49(8): 40-48. |
|