国外教育领域中文本情感分析运用的研究综述——基于 Citespace 和 Histcite Pro 的计量分析

赵 志娟, 李 　睿
云南师范大学信息学院教育技术系

摘要

为了探索文本情感分析在教育中的发展、应用及未来趋势，以 Web of Science 核心数据库中的 1133 篇相关文章及其中的 60篇高引文章进行深入分析。采用文献计量法，结合 Citespace 和 Histcite Pro 软件，从发文量、发文国家、核心著者、研究热点和主题谱系等进行全面考察。分析发现，教育领域文本情感分析研究持续增长，以中国和美国为主要研究阵地；核心著者主要来自计算机科学领域，教育领域的研究者摄入较少；研究内容集中在利用词典、机器学习和深度学习技术进行情感检测和识别的教育应用中；研究热点聚焦于学习者情感、动机、学习表现以及文本情感分析技术等方面。未来应深化对学习者情感本质的理解，融入多学科视角加强合作研究，发挥情感对学生学习的潜在促进作用，以期优化教学实践和提升学习体验。

关键词

教育文本挖掘；文本情感分析；学习情感；机器学习；情感词典；深度学习

参考

[1 ]Tyng C M，Amin H U，Saad M N M，et al.The influences of emotion on learning and memory[J].Frontiers in psychology，2017：1454.

[2] 刘继明，张培翔，刘颖，等 . 多模态的情感分析技术综述 [J].计算机科学与探索，2021，15（7）.

[3]Schouten K，Frasincar F.Survey on aspect-level sentiment analysis[J].IEEE transactions on knowledge and data engineering，2015，28（3）：813-830.

[4]Mäntylä M V，Graziotin D，Kuutila M.The evolution of sentiment analysis—A review of research topics，venues，and top cited papers[J].Computer Science Review，2018，27：16-32.

[5]Lang C，Siemens G，Wise A F，et al.Handbook of Learning Analytics：Second Edition.2 edition[M].SoLAR，2022.

[6]Dixon S J.Facebookquarterly number of MAU monthly active users worldwide 2008-2023[EB/OL].2023-11-09.[2023-12-10].https//www.statista.com/statistics/264810/number-of-monthly-active-facebook-users_x005f_x005f_x005fworldwide/

[7]Smith M K.Informal，non-formal and formal education–a brief overview of some different approaches[J].Infed.org：learning，education and community，2002.

[8] 庞景安 . 科学计量研究方法论 [M]. 北京：科学技术文献出版社，1999.

[9]Pang B，Lee L.Opinion mining and sentiment analysis[J].Foundations and Trends® in information retrieval，2008，2（1–2）：1-135.

[10]Mäntylä M V，Graziotin D，Kuutila M.The evolution of sentiment analysis—A review of research topics，venues，and top cited papers[J].Computer Science Review，2018，27：16-32.

[11]Poria S，Cambria E，Gelbukh A，et al.Sentiment data flow analysis by means of dynamic linguistic patterns[J].IEEE Computational Intelligence Magazine，2015，10（4）：26-36.

[12]Kumari P，Jain P K，Pamula R.An efficient use of ensemble methods to predict students academic performance[C]//2018 4th International Conference on Recent Advances in Information

Technology （RAIT）.IEEE，2018：1-6.

[13]Salganik M J.Bit by bit：Social research in the digital age[M].Princeton University Press，2019.

[14]Malik A，Heyman-Schrum C，Johri A.Use of Twitter across educational settings：a review of the literature[J].International Journal of Educational Technology in Higher Education，2019，16（1）：1-22.

[15]M e n k h o f f T， C h a y Y W， B e n gt s s o n M L， et al. Inco rpo rating mic roblogging （“tweeting”） in highe r education：Lessons learnt in a knowledge managementcourse[J].Computers in Human Behavior，2015，51：1295-1302.

[16]Harrison-Walker L J.The measurement of word-of-mouth communication and an investigation of service quality and customer commitment as potential antecedents[J].Journal of service research，2001，4（1）：60-75.

[17]Amani D.I have to choose this university：understanding perceived usefulness of word of mouth （WOM） in choosing universities among students of higher education[J].Services Marketing Quarterly，2022，43（1）：1-16.

[18]OSMANOĞLU U Ö，Atak O N，Çağlar K，et al.Sentiment analysis for distance education course materials：A machine learning approach[J].Journal of Educational Technology and Online Learning，2020，3（1）：31-48.

[19]Crossley S AAllen L KMcNamara D S.A MultiDimensional analysis of essay writing[J].Multi-dimensional analysis201425197-237.

[20]Tao J，Tan T.Affective computing：A review[C]//International Conference on Affective computing and intelligent interaction.Berlin，Heidelberg：Springer Berlin Heidelberg，2005：981-995.

[21]Teo R，Soutar G N.Word of mouth antecedents in an educational context：A Singaporean study[J].International Journal of Educational Management，2012，26（7）：678-695.

[22 ]Elli ot A J.H a n d b o o k of a p p r o a c h a n d av oi d a n c e motivation[M].Psychology Press，2013.

[23]Zhou J，Ye J.Sentiment analysis in education research：a review of journal publications[J].Interactive learning environments，2023，31（3）：1252-1264.

[24] 张腾，倪渊，莫同等 . 弹幕视频的情感时间曲线聚类与传播效果 [J]. 数据分析与知识发现，2022，6（06）：32-45.

[25]Boekaerts M.Emotionsemotion regulationand selfregulation of learning[J].Handbook of self-regulation of learning and performance20115408-425.

[26]Phan M，De Caigny A，Coussement K.A decision support framework to incorporate textual data for early student dropout prediction in higher education[J].Decision Support Systems，2023，168：113940.

[27]Hussain S，Ayoub M，Jilani G，et al.Aspect2Labels：A novelistic decision support system for higher educational institutions by using multi-layer topic modelling approach[J].Expert Systems with Applications，2022，209：118119.

[28]Hochreiter S，Schmidhuber J.Long short-term memory[J].Neural computation，1997，9（8）：1735-1780.

[29]Pang B ，Lee L ，Vaithyanathan S .Thumbs up? Sentiment Classification using Machine Learning Techniques[J].arXiv，2002.

[30]Pang B，Lee L.A sentimental education：Sentiment analysis using subjectivity summarization based on minimum cuts[J].arXiv preprint cs/0409058，2004.

[31]Abbasi A，France S，Zhang Z，et al.Selecting attributes for sentiment classification using feature relation networks[J].IEEE Transactions on Knowledge and Data Engineering，2010，23（3）：447-462.

[32]Altrabsheh N，Cocea M，Fallahkhair S.Sentiment analysis：towards a tool for analysing real-time students feedback[C]//2014 IEEE 26th international conference on tools with artificial intelligence.IEEE，2014：419-423.

[33]Ortigosa A，Martín J M，Carro R M.Sentiment analysis in Facebook and its application to e-learning[J].Computers in human behavior，2014，31：527-541.

[34]Balahadia F F，Fernando M C G，Juanatas I C.Teacher’s performance evaluation tool using opinion mining with sentiment analysis[C]//2016 IEEE region 10 symposium （TENSYMP）.IEEE，2016：95-98.

[35]Aung K Z，Myo N N.Sentiment analysis of students’ comment using lexicon based approach[C]//2017 IEEE/ACIS 16th international conference on computer and information science （ICIS）.IEEE，2017：149-154.

[36]Tseng C W，Chou J J，Tsai Y C.Text mining analysis of teaching evaluation questionnaires for the selection of outstanding teaching faculty members[J].IEEE Access，2018，6：72870-72879.

[37]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.

[38]Kastrati Z，Imran A S，Kurti A.Weakly supervised framework for aspect-based sentiment analysis on students’reviews of MOOCs[J].IEEE Access，2020，8：106799-106810.

[39]Sangeetha K，Prabha D.Sentiment analysis of student feedback using multi-head attention fusion model of word and context embedding for LSTM[J].Journal of Ambient Intelligence and Humanized Computing，2021，12：4117-4126.