Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (11A): 17-21.doi: 10.11896/jsjkx.210300172

• Intelligent Computing • Previous Articles     Next Articles

Chinese Commentary Text Research Status and Trend Analysis Based on CiteSpace

LI Jian-lan, PAN Yue, LI Xiao-cong, LIU Zi-wei, WANG Tian-yu   

  1. School of Management,Hefei University of Technology,Hefei 230009,China
  • Online:2021-11-10 Published:2021-11-12
  • About author:LI Jian-lan,born in 2000,undergra-duate.Her main research interests include electronic commerce and so on.
  • Supported by:
    Provincial College Student Innovation Project of Hefei University of Technology(S202010359165).

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Abstract: Natural language processing (NLP) has been a hot topic in the field of artificial intelligence (AI) recently,among which commentary-based text analysis has also attracts the attention of scholars.In this study,the research status and frontier development trend can be grasped through a visual analysis of the domestic literature on comment text analysis.A total of 453 valid core journal papers on the field are selected from CNKI as the data source.CiteSpace software is used to draw the knowledge map and analyze it.Analysis results show that the number of literature in this field has been on the rise in past 15 years.The cooperation among authors and among research institutions is not close,and a cohesive research group has not been formed.Sentiment analysis,online comments and deep learning are the main research hotspots at present.From the initial development of theoretical basis and the expansion of application direction,to the improvement of analysis methods and models in the later stage,scholars have gradually deepened the research in this field.In the future,the cooperative relationship between researchers and research institutions needs to be strengthened,and various models which are represented by deep learning will continue to develop and improve in the future.

Key words: CiteSpace, Comment, Feature extraction, Sentiment analysis, Text analysis

CLC Number: 

  • TP391.1
[1]YANG,ZAO L.A decision-making algorithm for online shopping using deep-learning-based opinion pairs mining and q-rung orthopair fuzzy interaction Heronian mean operators[J].International Journal of Intelligent Systems,2020,35(5):783-825.
[2]LI X,WU C,MAI F.The Effect of Online Reviews on Product Sales:A Joint Sentiment-Topic Analysis[J].Information & Management,2018,56(2):172-184.
[3]JIN J,ZHANG L X,LIU X E,et al.Use case extraction from product reviews for customer requirement analysis[J].Information Studies:Theory & Application,2020,43(1):104-111.
[4]ZHANG M Y,ZHU G L,ZHANG S X,et al.Grouping microblog users of trending topics based on sentiment analysis[J].Data Analysis and Knowledge Discovery,2021,5(2):43-49.
[5]CHEN Y,CHEN C M,LIU Z Y,et al.The methodology function of CiteSpace mapping knowledge domains[J].Studies in Science of Science,2015,33(2):242-253.
[6]CHEN C.CiteSpace II:Detecting and visualizing emerging trendsand transient patterns in scientific literature[J].Journal of the Association for Information Science & Technology,2006,57(3):359-377.
[7]ZHOU L Z,HE Y K,WANG J Y.Survey on research of sentimentanalysis[J].Journalof Computer Applications,2008(11):2725-2728.
[8]ZHANGZ Q,YE Q,LI Y J.Literature review on sentiment analysis of online product reviews[J].Journal of Management Sciences in China,2010,13(6):84-96.
[9]LI Y,HAN B,ZHAO J.Analysing microblogging public opinions based on short text and sentiment analysis[J].Computer Applications and Software,2013,30(12):240-243.
[10]LAI Q N,MA H,SONG W J,et al.Alalysis of user interactive social behavior between microblog and BBS in a university[J],Journal on Communications,2013,34(S2):99-106.
[11]CHEN Y,YAO L B,ZHANG G H,et al.Text sentiment orientation analysis of multi-channels CNN and BIGRU based on attention mechanism[J].Journal of Computer Research and Development,2020,57(12):2583-2595.
[12]YANG X,YANG Y F,JIAO W,et al.Sentiment analysis ofhomestay comments based on domain dictionary[J].Science Technology and Engineering,2020,20(7):2794-2800.
[13]CHEN C M.Science Mapping:A systematic Review of the Li-terature[J].Journal of Data and Information Science,2017,2(2):1-40.
[14]ZHANG Q L,XU J.Research on automatic extraction of websentiment words[J].Data Analysis and Knowledge Discovery,2011(10):24-28.
[15]WANG G,YANG S L.Study of sentiment analysis of product reviews in internet based on RS-SVM[J].Computer Science,2013,40(S2):274-277.
[16]ZHOU J,LINC,LI B C.Research of sentiment classification for netnews comments by machine learning[J].Journal of Computer Applications,2010,30(4):1011-1014.
[17]TANG X B,WANG H Y.Research on microblogging products reviews mining model[J].Journal of Intelligence,2013,32(2):107-111,127.
[18]HUANG W M,WEI W C,ZHANG J,et al.Recommendation method based on attention mechanism and review text deep model[J].Computer Engineering,2019,45(9):176-182.
[19]CHEN J Y,WU Y Y,LIN X.Double layered recommendation algorithm based on fast density clustering with graph-based filtering& Applications[J].Control Theory & Applications,2019,36(4):542-552.
[20]XU J,DING Y X,WANG X L.Sentiment classification for Chinese news using machine learning methods[J].Journal of Chinese Information Processing,2007(6):95-100.
[21]WU X,HEZ S,HUANG Y W.Product review mining:a survey[J].Computer Engineering and Applications,2008,44(36):37-41.
[22]FANG X D,CHEN S.Twenty five years of internet in China[J].Modern Communication(Journal of Communication University of China),2019,41(4):1-10.
[23]LIS,YE Q,LI Y J,LUO S Q.Mining product features and sentiment orientation from Chinese customer[J].Application Research of Computers,2010,27(8):3016-3019.
[24]ZHU M R,LIN X K,LU T,et al.Identification of opinion lea-ders in social networks based on sentimental analysis:evidence from an automotive forum[J].Information Studies:Theory & Application,2017,40(6):76-81.
[25]SUN C W,REN Z L,YANG J J,et al.Fine-grained analysis of hotel service quality based on review data[J].Computer Applications and Software,2019,36(7):32-38.
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