Computer Science ›› 2019, Vol. 46 ›› Issue (7): 151-156.doi: 10.11896/j.issn.1002-137X.2019.07.024
• Artificial Intelligence • Previous Articles Next Articles
SHEN Chen-lin,ZHANG Lu,WU Liang-qing,LI Shou-shan
CLC Number:
[1]ZHAO Y Y,QIN B,LIU T.Sentiment Analysis [J].Journal of Software,2010,21(8):1834-1848.(in Chinese) 赵妍妍,秦兵,刘挺.文本情感分析 [J].软件学报,2010,21(8):1834-1848. [2]ZHANG Y F,LAI G K,ZHANG M,et al.Explicit Factor Mo- dels for Explainable Recommendation Based on phrase-level Sentiment Analysis[C]∥Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval.2014:83-92. [3]CHAMBERS N,BOWEN V,GENCO E,et al.Identifying Politi- cal Sentiment between Nation States with Social Media[C]∥Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing.2015:65-75. [4]WANG R H,CUI X M,ZHOU W,et al.Research of Text Sen- timent Classification Based on Improved Semantic Comprehension [J].Computer Science,2017,44(S2):92-97.(in Chinese) 王日宏,崔兴梅,周炜,等.改进的基于语义理解的文本情感分类方法研究 [J].计算机科学,2017,44(S2):92-97. [5]XU J C,CHEN D L,QIU X P,et al.Cached Long Short-Term Memory Neural Networks for Document-level Sentiment Classification[C]∥Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing.2016:1660-1669. [6]TURKEY P D.Thumbs up or Thumbs down?:Semantic Orientation Applied to Unsupervised Classification of Reviews[C]∥Proceedings of the 40th Annual Meeting on Association for Computational Linguistics.2002:417-424. [7]TANG D Y,WEI F R,YANG N,et al.Learning Sentiment Specific Word Embedding for Twitter Sentiment Classification[C]∥Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics.2014:1555-1565. [8]MATSUMOTO S,TAKAMURA H,OKUMURA M.Senti- ment Classification Using Word Sub-sequence and Dependency Sub-trees[C]∥Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining.2005:301-311. [9]ZHOU X J,WAN X J,XIAO J G.Cross-lingual Sentiment Classification with Bilingual Document Representation Learning[C]∥Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics.2016:1403-1412. [10]LI S S,HUANG C R,ZHOU G D,et al.Employing Personal/Impersonal Views in Supervised and Semi-supervised Sentiment Classification[C]∥Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics.2010:414-423. [11]XIA R,WANG C,DAI X Y,et al.Co-training for Semi-supervised Sentiment Classification Based on Dual-view Bags-of-words Representation[C]∥Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing.2015:1054-1063. [12]PONTIKI M,GALANIS D,PAVLOPOULOS J,et al.SemEval-2014 Task 4:Aspect Based Sentiment Analysis[C]∥Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016).2016:19-30. [13]WANG Y Q,HUANG M L,ZHAO L,et al.Attention-based LSTM for Aspect-level Sentiment Classification[C]∥Procee-dings of the 2016 Conference on Empirical Methods in Natural Language Processing.2016:606-615. [14]TANG D Y,QIN B,LIU T.Aspect Level Sentiment Classification with Deep Memory Network[C]∥Proceedings of the 2016 Conference on Empirical Methods in Natural Language Proces-sing.2016:214-224. [15]HOCHREITER S,SCHMIDHUBER J.Long Short-term Me- mory [J].Neural Computation,1997,9(8):1735-1780. [16]LUONG T,PHAM H,MANNINGC 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]PENG Y,HE X,ZHAO J.Object-part Attention Model for Fine-grained Image Classification [J].IEEE Transactions on Image Processing,2018,27(3):1487-1500. [18]YANG Z C,YANG D Y,DYER C,et al.Hierarchical Attention Networks for Document Classification[C]∥Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies.2016:1480-1489. [19]CUI Y M,CHEN Z P,WEI S,et al.Attention-over-attention Neural Networks for Reading Comprehension[C]∥Proceedings of the 55th Annual Meeting of the Association for Computatio-nal Linguistics.2017:593-602. [20]KINGMA D,BA J.Adam:A Method for Stochastic Optimization [C]∥Proceedings of the 3rd International Conference on Learning Representations.2015:1-15. [21]LEI T,BARZILAY R,JAAKKOLA T.Molding CNNs for Text:Non-linear,Non-consecutive Convolutions[C]∥Procee-dings of the 2015 Conference on Empirical Methods in Natural Language Processing.2015:1565-1575. [22]WANG Z G,HAMZA W,FLORIAN R.Bilateral Multi-perspec- tive Matching for Natural Language Sentences[C]∥Proceedings of the 2017 International Joint Conferences on Artificial Intelligence.2017:4144-4150. |
[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] | ZHOU Fang-quan, CHENG Wei-qing. Sequence Recommendation Based on Global Enhanced Graph Neural Network [J]. Computer Science, 2022, 49(9): 55-63. |
[3] | DAI Yu, XU Lin-feng. Cross-image Text Reading Method Based on Text Line Matching [J]. Computer Science, 2022, 49(9): 139-145. |
[4] | 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. |
[5] | 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. |
[6] | 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. |
[7] | 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. |
[8] | 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. |
[9] | 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. |
[10] | 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. |
[11] | JIN Fang-yan, WANG Xiu-li. Implicit Causality Extraction of Financial Events Integrating RACNN and BiLSTM [J]. Computer Science, 2022, 49(7): 179-186. |
[12] | XIONG Luo-geng, ZHENG Shang, ZOU Hai-tao, YU Hua-long, GAO Shang. Software Self-admitted Technical Debt Identification with Bidirectional Gate Recurrent Unit and Attention Mechanism [J]. Computer Science, 2022, 49(7): 212-219. |
[13] | PENG Shuang, WU Jiang-jiang, CHEN Hao, DU Chun, LI Jun. Satellite Onboard Observation Task Planning Based on Attention Neural Network [J]. Computer Science, 2022, 49(7): 242-247. |
[14] | ZHANG Ying-tao, ZHANG Jie, ZHANG Rui, ZHANG Wen-qiang. Photorealistic Style Transfer Guided by Global Information [J]. Computer Science, 2022, 49(7): 100-105. |
[15] | ZENG Zhi-xian, CAO Jian-jun, WENG Nian-feng, JIANG Guo-quan, XU Bin. Fine-grained Semantic Association Video-Text Cross-modal Entity Resolution Based on Attention Mechanism [J]. Computer Science, 2022, 49(7): 106-112. |
|