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The Extraction of Comment Information and Sentiment Analysis in Chinese Reviews

INFORMAZIONI SU QUESTO ARTICOLO

Cita

Li Piji, Ma Jun, Zhang Dongmei, etc.. “Label extraction and sorting in user reviews,” J. Journal of Chinese Information Processing, 2012, vol. 26(5), pp. 14–19, 45.LiPijiMaJunZhangDongmei, etc.. “Label extraction and sorting in user reviews,”J. Journal of Chinese Information Processing, 2012, vol. 26(5), pp. 1419, 45.Search in Google Scholar

Hu MQ, Liu B. “Mining and summarizing customer reviews,” C. Proc. of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Seattle, WA, USA. 2004, pp. 168–177.HuMQLiuB.“Mining and summarizing customer reviews,”C. Proc. of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Seattle, WA, USA. 2004, pp. 168177.10.1145/1014052.1014073Search in Google Scholar

Qiu Yunfei, Chen Yifang, Wang Wei, etc.. “Product evaluation object extraction based on word character and syntactic analysis,” J. Computer Engineering, 2016, vol. 42 (7), pp. 173–180.QiuYunfeiChenYifangWangWei, etc.. “Product evaluation object extraction based on word character and syntactic analysis,”J. Computer Engineering, 2016, vol. 42 (7), pp. 173180.Search in Google Scholar

Jakob N, Gurevych I. “Extracting opinion targets in a single-and cross-domain setting with conditional random fields,” Proc. of the 2010 Conference on Empirical Methods in Natural Language Processing. Cambridge, Massachusetts. 2010.JakobNGurevychI.“Extracting opinion targets in a single-and cross-domain setting with conditional random fields,”Proc. of the 2010 Conference on Empirical Methods in Natural Language Processing. Cambridge, Massachusetts. 2010.Search in Google Scholar

Jin Lijun. “Research on the automatic recognition of the usefulness of SVM based search commodity reviews,” D. Harbin Institute of Technology, 2013.JinLijun. “Research on the automatic recognition of the usefulness of SVM based search commodity reviews,” D. Harbin Institute of Technology, 2013.Search in Google Scholar

John D Lafferty, Andrew McCallum, Fernando C N Pereira. “Conditional random fields: Probabilistic models for segmenting and labeling sequence data,” Proceedings of the 18th International Conference on Machine Learning. Williamstown, MA, USA, 2001, pp. 282–289.LaffertyJohn DMcCallumAndrewPereiraFernando C N. “Conditional random fields: Probabilistic models for segmenting and labeling sequence data,”Proceedings of the 18th International Conference on Machine Learning. Williamstown, MA, USA, 2001, pp. 282289.Search in Google Scholar

Wang Rongyang, Ju Jiupeng, Li Shoushan, etc.. “Research on feature extraction feature of evaluation object based on CRFs,” J. Journal of Chinese Information Processing, 2012, vol. 26 (2), pp. 56–61.WangRongyangJuJiupengLiShoushan, etc.. “Research on feature extraction feature of evaluation object based on CRFs,”J. Journal of Chinese Information Processing, 2012, vol. 26 (2), pp. 5661.Search in Google Scholar

Xia Yuan, Zhang Zheng. “Evaluation of object extraction based on CRF,” J. Computer Systems and Applications. 2017, vol. 26 (11), pp. 254–259.XiaYuanZhangZheng. “Evaluation of object extraction based on CRF,”J. Computer Systems and Applications. 2017, vol. 26 (11), pp. 254259.Search in Google Scholar

eISSN:
2470-8038
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Computer Sciences, other