Computer Science ›› 2023, Vol. 50 ›› Issue (5): 248-254.doi: 10.11896/jsjkx.220400069
• Artificial Intelligence • Previous Articles Next Articles
WANG Lin, MENG Zuqiang, YANG Lina
CLC Number:
[1]WANG L,NIU J W,YU S.Combining Textual Information and Sentiment Diffusion Patterns for Twitter Sentiment Analysis[J].IEEE Transactions on Knowledge and Data Engineering,2020,32(10):2026-2039. [2]HASSONAH M R,AL-SAYYED R,RODAN A,et al.An effi-cient hybrid filter and evolutionary wrapper approach for sentiment analysis of various topics on Twitter[J].Knowledge-Based Systems,2020,192:1-19. [3]KAGAN V,STEVENS A,SUBRAHMANIAN V S.UsingTwitter Sentiment to Forecast the 2013 Pakistani Election and the 2014 Indian Election[J].IEEE Intelligent Systems,2015,30(1):2-5. [4]BACCIANELLA S,ESULI A,SEBASTIANI F.SENTIWORDNET 3.0:An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining[C]//Proceedings of the 7th Interna-tional Conference on Language Resources and Evaluation.Valletta:ELRA,2010:55-57. [5]DENG S Y,SINHA A P,ZHAO H M.Adapting sentiment lexi-cons to domain-specific social media texts[J].Decision Support Systems,2017,94:65-76. [6]ASGHAR M Z,KHAN A,AHMAD S,et al.Lexicon-enhanced sentiment analysis framework using rule-based classification scheme[J].Plos One,2017,12(2):1-22. [7]HAN H Y,ZHANG J P,YANG J,et al.Generate domain-specific sentiment lexicon for review sentiment analysis[J].Multimedia Tools and Applications,2018,77(16):21265-21280. [8]CAI Y,YANG K,HUANG D P,et al.A hybrid model for opi-nion mining based on domain sentiment dictionary[J].International Journal of Machine Learning and Cybernetics,2019,10(8):2131-2142. [9]HAJEK P.Combining bag-of-words and sentiment features of annual reports to predict abnormal stock returns[J].Neural Computing & Applications,2018,29(7):343-358. [10]DEY A,JENAMANI M,THAKKAR J J.Lexical TF-IDF:An n-gram Feature Space for Cross-Domain Classification of Sentiment Reviews[C]//Proceedings of the 7th International Confe-rence on Pattern Recognition and Machine Intelligence.Switzerland:Springer International Publishing,2017:380-386. [11]MANEK A S,SHENOY P D,MOHAN M C,et al.Aspect term extraction for sentiment analysis in large movie reviews using Gini Index feature selection method and SVM classifier[J].World Wide Web-Internet and Web Information Systems,2017,20(2):135-154. [12]ROUT J K,CHOO K K R,DASH A K,et al.A model for sentiment and emotion analysis of unstructured social media text[J].Electronic Commerce Research,2018,18(1):181-199. [13]HUQ M R,ALI A,RAHMAN A.Sentiment Analysis on Twitter Data using KNN and SVM[J].International Journal of Advanced Computer Science and Applications,2017,8(6):19-25. [14]LI Q,LI P F,MAO K Z,et al.Improving convolutional neural network for text classification by recursive data pruning[J].Neurocomputing,2020,414:143-152. [15]JELODAR H,WANG Y L,ORJI R,et al.Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions:NLP Using LSTM Recurrent Neural Network Approach[J].IEEE Journal of Biomedical and Health Informatics,2020,24(10):2733-2742. [16]GAN C Q,WANG L,ZHANG Z F,et al.Sparse attention based separable dilated convolutional neural network for targeted sentiment analysis[J].Knowledge-Based Systems,2020,188:1-10. [17]ZHAO P L,HOU L L,WU O.Modeling sentiment dependencies with graph convolutional networks for aspect-level sentiment classification[J].Knowledge-Based Systems,2020,193:1-10. [18]ZHOU J,HUANG J X,HU Q V,et al.SK-GCN:Modeling Syntax and Knowledge via Graph Convolutional Network for aspect-level sentiment classification[J].Knowledge-Based Systems,2020,205:1-10. [19]HASSAN J,SHOAIB U.Multi-class Review Rating Classification using Deep Recurrent Neural Network[J].Neural Proces-sing Letters,2020,51(1):1031-1048. [20]AHMED M,CHEN Q,LI Z H.Constructing domain-dependent sentiment dictionary for sentiment analysis[J].Neural Computing & Applications,2020,32(18):14719-14732. [21]WEI J Y,LIAO J,YANG Z F,et al.BiLSTM with Multi-Polarity Orthogonal Attention for Implicit Sentiment Analysis[J].Neurocomputing,2020,383:165-173. [22]ZHANG Y,WANG J,ZHANG X.Conciseness is better:Recurrent attention LSTM model for document-level sentiment analysis[J].Neurocomputing,2021,462:101-112. [23]WANG B,SHAN D,FAN A,et al.A Sentiment Classification Method of Web Social Media Based on Multidimensional and Multilevel Modeling[J].IEEE Transactions on Industrial Informatics,2021,18(2):1240-1249. [24]LI W,ZHU Y,SHI Y,et al.User reviews:Sentiment analysisusing lexicon integrated two-channel CNN-LSTM family models[J].Applied Soft Computing,2020,94:1-10. [25]BEHERA R K,JENA M,RATH S K,et al.Co-LSTM:Convolutional LSTM model for sentiment analysis in social big data[J].Information Processing & Management,2021,58(1):1-18. [26]BASIRI M E,NEMATI S,ABDAR M,et al.ABCDM:An attention-based bidirectional CNN-RNN deep model for sentiment analysis[J].Future Generation Computer Systems,2021,115:279-294. [27]GAN C Q,FENG Q D,ZHANG Z F.Scalable multi-channel dilated CNN-BiLSTM model with attention mechanism for Chinese textual sentiment analysis[J].Future Generation Compu-ter Systems,2021,118:297-309. [28]LI W J,QI F,TANG M,et al.Bidirectional LSTM with self-attention mechanism and multi-channel features for sentiment classification[J].Neurocomputing,2020,387:63-77. [29]KALCHBRENNER N,GREFENSTETTE E,BLUNSOM P.A Convolutional Neural Network for Modelling Sentences[C]//Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics.Stroudsburg,PA:Association for Computational Linguistics,2014:655-665. [30]SHIN B,LEE T,CHOI J D.Lexicon integrated CNN models with attention for sentiment analysis[J/OL]. https://arxiv.org/abs/1610.06272. [31]TAI K S,SOCHER R,MANNING C D.Improved SemanticRepresentations From Tree-Structured Long Short-Term Me-mory Networks[C]//Proceedings of the 53nd Annual Meeting of the Association for Computational Linguistics.Stroudsburg,PA:Association for Computational Linguistics,2015:1556-1566. [32]CHEN C T,ZHOU R,REN J T.Gated recurrent neural network with sentimental relations for sentiment classification[J].Information Sciences,2019,502:268-278. [33]ZHOU L,BIAN X Y.Improved text sentiment classicationmethod based on BiGRU-Attention[J]. Journal of Physics:Conference Series,2019,1345:032097. [34]YANG L,LI Y,WANG J,et al.Sentiment analysis for e-commerce product reviews in Chinese based on sentiment lexicon and deep learning[J].IEEE Access,2020,8:23522-23530. |
[1] | LI Han, HOU Shoulu, TONG Qiang, CHEN Tongtong, YANG Qimin, LIU Xiulei. Entity Relation Extraction Method in Weapon Field Based on DCNN and GLU [J]. Computer Science, 2023, 50(6A): 220200112-7. |
[2] | HUANG Yujiao, CHEN Mingkai, ZHENG Yuan, FAN Xinggang, XIAO Jie, LONG Haixia. Text Classification Based on Weakened Graph Convolutional Networks [J]. Computer Science, 2023, 50(6A): 220700039-5. |
[3] | LUO Ruiqi, YAN Jinlin, HU Xinrong, DING Lei. EEG Emotion Recognition Based on Multiple Directed Weighted Graph and ConvolutionalNeural Network [J]. Computer Science, 2023, 50(6A): 220600128-8. |
[4] | LUO Huilan, LONG Jun, LIANG Miaomiao. Attentional Feature Fusion Approach for Siamese Network Based Object Tracking [J]. Computer Science, 2023, 50(6A): 220300237-9. |
[5] | XIONG Haojie, WEI Yi. Study on Multibeam Sonar Elevation Data Prediction Based on Improved CNN-BP [J]. Computer Science, 2023, 50(6A): 220100161-4. |
[6] | XU Changqian, WANG Dong, SU Feng, ZHANG Jun, BIAN Haifeng, LI Long. Image Recognition Method of Transmission Line Safety Risk Assessment Based on MultidimensionalData Coupling [J]. Computer Science, 2023, 50(6A): 220500032-6. |
[7] | WANG Jinwei, ZENG Kehui, ZHANG Jiawei, LUO Xiangyang, MA Bin. GAN-generated Face Detection Based on Space-Frequency Convolutional Neural Network [J]. Computer Science, 2023, 50(6): 216-224. |
[8] | WEI Tao, LI Zhihua, WANG Changjie, CHENG Shunhang. Cybersecurity Threat Intelligence Mining Algorithm for Open Source Heterogeneous Data [J]. Computer Science, 2023, 50(6): 330-337. |
[9] | ZHANG Xue, ZHAO Hui. Sentiment Analysis Based on Multi-event Semantic Enhancement [J]. Computer Science, 2023, 50(5): 238-247. |
[10] | YE Han, LI Xin, SUN Haichun. Convolutional Network Entity Missing Detection Method Combined with Gated Mechanism [J]. Computer Science, 2023, 50(5): 262-269. |
[11] | CHANG Liwei, LIU Xiujuan, QIAN Yuhua, GENG Haijun, LAI Yuping. Multi-source Fusion Network Security Situation Awareness Model Based on Convolutional Neural Network [J]. Computer Science, 2023, 50(5): 382-389. |
[12] | CAO Chenyang, YANG Xiaodong, DUAN Pengsong. WiDoor:Close-range Contactless Human Identification Approach [J]. Computer Science, 2023, 50(4): 388-396. |
[13] | SHAO Yunfei, SONG You, WANG Baohui. Study on Degree of Node Based Personalized Propagation of Neural Predictions forSocial Networks [J]. Computer Science, 2023, 50(4): 16-21. |
[14] | ZHEN Tiange, SONG Mingyang, JING Liping. Incorporating Multi-granularity Extractive Features for Keyphrase Generation [J]. Computer Science, 2023, 50(4): 181-187. |
[15] | WANG Xiaofei, FAN Xueqiang, LI Zhangwei. Improving RNA Base Interactions Prediction Based on Transfer Learning and Multi-view Feature Fusion [J]. Computer Science, 2023, 50(3): 164-172. |
|