{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T04:20:21Z","timestamp":1775017221036,"version":"3.50.1"},"reference-count":58,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2021,11,9]],"date-time":"2021-11-09T00:00:00Z","timestamp":1636416000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,11,9]],"date-time":"2021-11-09T00:00:00Z","timestamp":1636416000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Inf Syst Front"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s10796-021-10217-6","type":"journal-article","created":{"date-parts":[[2021,11,9]],"date-time":"2021-11-09T16:02:50Z","timestamp":1636473770000},"page":"1971-1988","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Understanding the Order Effect of Online Reviews: A Text Mining Perspective"],"prefix":"10.1007","volume":"24","author":[{"given":"Sambit","family":"Tripathi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4869-9872","authenticated-orcid":false,"given":"Amit V.","family":"Deokar","sequence":"additional","affiliation":[]},{"given":"Haya","family":"Ajjan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,11,9]]},"reference":[{"issue":"August 2019","key":"10217_CR1","doi-asserted-by":"publisher","first-page":"102132","DOI":"10.1016\/j.ijinfomgt.2020.102132","volume":"54","author":"S Al-Natour","year":"2020","unstructured":"Al-Natour, S., & Turetken, O. (2020). A comparative assessment of sentiment analysis and star ratings for consumer reviews. International Journal of Information Management, 54(August 2019), 102132. https:\/\/doi.org\/10.1016\/j.ijinfomgt.2020.102132","journal-title":"International Journal of Information Management"},{"key":"10217_CR2","doi-asserted-by":"crossref","unstructured":"Anderson, R. E. (1973). Consumer dissatisfaction: The effect of disconfirmed expectancy on perceived product performance. In source: Journal of marketing research (Vol. 10, issue 1).","DOI":"10.2307\/3149407"},{"key":"10217_CR3","doi-asserted-by":"publisher","unstructured":"Archak, N., Ghose, A., & Ipeirotis, P. G. (2011). Deriving the pricing power of product features by mining consumer reviews. Management Science, 57(8). https:\/\/doi.org\/10.1287\/mnsc.1110.1370","DOI":"10.1287\/mnsc.1110.1370"},{"key":"#cr-split#-10217_CR4.1","doi-asserted-by":"crossref","unstructured":"Augustyniak, \u0141., Kajdanowicz, T., & Kazienko, P. (2019). Aspect detection using word and char Embeddings with","DOI":"10.1109\/AIKE.2019.00016"},{"key":"#cr-split#-10217_CR4.2","doi-asserted-by":"crossref","unstructured":"(bi) LSTM and CRF. 2019 IEEE second international conference on artificial intelligence and knowledge engineering (AIKE), 43-50. doi: 10.1109\/AIKE.2019.00016.","DOI":"10.1109\/AIKE.2019.00016"},{"key":"10217_CR5","doi-asserted-by":"publisher","unstructured":"Banerjee, S., Bhattacharyya, S., & Bose, I. (2017). Whose online reviews to trust? Understanding reviewer trustworthiness and its impact on business. https:\/\/doi.org\/10.1016\/j.dss.2017.01.006","DOI":"10.1016\/j.dss.2017.01.006"},{"key":"10217_CR6","unstructured":"Bird, S., Klein, E., & Loper, E. (2009). Natural language processing with Python (J. Steele (ed.); 1st ed.). O\u2019Reilly Media, Inc."},{"key":"10217_CR7","unstructured":"Blei, D. M., Ng, A. Y., & Edu, J. B. (2003). Latent Dirichlet allocation Michael I. Jordan. In Journal of Machine Learning Research (Vol. 3)."},{"key":"10217_CR8","unstructured":"Brody, S., & Elhadad, N. (2010). An unsupervised aspect-sentiment model for online reviews. The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, June, 804\u2013812."},{"key":"10217_CR9","unstructured":"Cacioppo, J. T., & Petty, R. E. (1984). The elaboration likelihood model of persuasion. Advances in Consumer Research , 11, 673\u2013675. https:\/\/www.acrwebsite.org\/volumes\/6329\/volumes\/v11\/NA-11\/full"},{"issue":"4","key":"10217_CR10","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1509\/jmr.12.0063","volume":"50","author":"Z Chen","year":"2013","unstructured":"Chen, Z., & Lurie, N. H. (2013). Temporal contiguity and negativity bias in the impact of online word of mouth. Journal of Marketing Research, 50(4), 463\u2013476. https:\/\/doi.org\/10.1509\/jmr.12.0063","journal-title":"Journal of Marketing Research"},{"issue":"3","key":"10217_CR11","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1509\/jmkr.43.3.345","volume":"43","author":"JA Chevalier","year":"2006","unstructured":"Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345\u2013354. https:\/\/doi.org\/10.1509\/jmkr.43.3.345","journal-title":"Journal of Marketing Research"},{"key":"10217_CR12","doi-asserted-by":"crossref","unstructured":"Cui, G., Lui, H. K., & Guo, X. (2010). Online reviews as a driver of new product sales. International conference on management of E-commerce and e-government, ICMeCG 2010, 20\u201325. doi: 10.1109\/ICMeCG.2010.13.","DOI":"10.1109\/ICMeCG.2010.13"},{"issue":"10","key":"10217_CR13","doi-asserted-by":"publisher","first-page":"1407","DOI":"10.1287\/mnsc.49.10.1407.17308","volume":"49","author":"C Dellarocas","year":"2003","unstructured":"Dellarocas, C. (2003). The digitization of word of mouth: Promise and challenges of online feedback mechanisms. Management Science, 49(10), 1407\u20131424. https:\/\/doi.org\/10.1287\/mnsc.49.10.1407.17308","journal-title":"Management Science"},{"key":"10217_CR14","unstructured":"Deng, C., & Ravichandran, T. (2018). Positivity Bias: Effects of discrete emotions on review helpfulness. Twenty-Fourth Americas Conference on Information Systems, 1\u201310."},{"issue":"4","key":"10217_CR15","doi-asserted-by":"publisher","first-page":"1007","DOI":"10.1016\/j.dss.2008.04.001","volume":"45","author":"W Duan","year":"2008","unstructured":"Duan, W., Gu, B., & Whinston, A. B. (2008). Do online reviews matter? - An empirical investigation of panel data. Decision Support Systems, 45(4), 1007\u20131016. https:\/\/doi.org\/10.1016\/j.dss.2008.04.001","journal-title":"Decision Support Systems"},{"key":"10217_CR16","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1186\/s40537-015-0015-2","volume":"2","author":"X Fang","year":"2011","unstructured":"Fang, X., & Zhan, J. (2011). Sentiment analysis using product review data. Journal of Big Data, 2, 5. https:\/\/doi.org\/10.1186\/s40537-015-0015-2","journal-title":"Journal of Big Data"},{"key":"10217_CR17","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/j.chb.2017.10.039","volume":"80","author":"R Filieri","year":"2018","unstructured":"Filieri, R., Hofacker, C. F., & Alguezaui, S. (2018). What makes information in online consumer reviews diagnostic over time? The role of review relevancy, factuality, currency, source credibility and ranking score. Computers in Human Behavior, 80, 122\u2013131. https:\/\/doi.org\/10.1016\/j.chb.2017.10.039","journal-title":"Computers in Human Behavior"},{"issue":"10","key":"10217_CR18","doi-asserted-by":"publisher","first-page":"1498","DOI":"10.1109\/TKDE.2010.188","volume":"23","author":"A Ghose","year":"2011","unstructured":"Ghose, A., & Ipeirotis, P. G. (2011). Estimating the helpfulness and economic impact of product reviews: Mining text and reviewer characteristics. IEEE Transactions on Knowledge and Data Engineering, 23(10), 1498\u20131512. https:\/\/doi.org\/10.1109\/TKDE.2010.188","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"issue":"3","key":"10217_CR19","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1287\/mksc.1110.0653","volume":"31","author":"D Godes","year":"2012","unstructured":"Godes, D., & Silva, J. C. (2012). Sequential and temporal dynamics of online opinion. Marketing Science, 31(3), 448\u2013473. https:\/\/doi.org\/10.1287\/mksc.1110.0653","journal-title":"Marketing Science"},{"key":"10217_CR20","doi-asserted-by":"crossref","unstructured":"Green, M. G., Tan, J. J., Linsey, J. S., Seepersad, C. C., & Wood, K. L. (2005). Effects of product usage context on consumer product preferences. Proceedings of the ASME international design engineering technical conferences and computers and information in engineering conference - DETC2005, 5, 171\u2013185. doi: 10.1115\/detc2005-85438.","DOI":"10.1115\/DETC2005-85438"},{"issue":"1","key":"10217_CR21","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1287\/isre.1100.0343","volume":"23","author":"B Gu","year":"2012","unstructured":"Gu, B., Park, J., & Konana, P. (2012). Research note-the impact of external word-of-mouth sources on retailer sales of high-involvement products. Information Systems Research, 23(1), 182\u2013196. https:\/\/doi.org\/10.1287\/isre.1100.0343","journal-title":"Information Systems Research"},{"key":"10217_CR22","doi-asserted-by":"crossref","unstructured":"Hu, M., & Liu, B. (2004). Mining and summarizing customer reviews. Proceedings of the tenth ACM SIGKDD international conference on knowledge discovery and data mining, 168\u2013177. doi: 10.1145\/1014052.1014073.","DOI":"10.1145\/1014052.1014073"},{"issue":"3","key":"10217_CR23","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1016\/j.dss.2011.11.002","volume":"52","author":"N Hu","year":"2012","unstructured":"Hu, N., Bose, I., Koh, N. S., & Liu, L. (2012). Manipulation of online reviews: An analysis of ratings, readability, and sentiments. Decision Support Systems, 52(3), 674\u2013684. https:\/\/doi.org\/10.1016\/j.dss.2011.11.002","journal-title":"Decision Support Systems"},{"issue":"1","key":"10217_CR24","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.dss.2013.07.009","volume":"57","author":"N Hu","year":"2014","unstructured":"Hu, N., Koh, N. S., & Reddy, S. K. (2014). Ratings lead you to the product, reviews help you clinch it? The mediating role of online review sentiments on product sales. Decision Support Systems, 57(1), 42\u201353. https:\/\/doi.org\/10.1016\/j.dss.2013.07.009","journal-title":"Decision Support Systems"},{"issue":"2","key":"10217_CR25","doi-asserted-by":"publisher","first-page":"449","DOI":"10.25300\/MISQ\/2017\/41.2.06","volume":"41","author":"N Hu","year":"2017","unstructured":"Hu, N., Pavlou, P. A., & Zhang, J. (2017). On self-selection biases in online product reviews. MIS Quarterly, 41(2), 449\u2013471.","journal-title":"MIS Quarterly"},{"key":"10217_CR26","doi-asserted-by":"crossref","unstructured":"Hutto, C. ., & Gilbert, E. (2014). VADER: A parsimonious rule-based model for sentiment analysis of social media text. Eighth international AAAI conference on weblogs and social media, 216\u2013225. doi: 10.1210\/en.2011-1066.","DOI":"10.1609\/icwsm.v8i1.14550"},{"key":"10217_CR27","unstructured":"Kulkarni, U., Deokar, A., & Ajjan, H. (2019). Mining Online Reviews to Uncover Consumer Brand Engagement. ICIS 2019 Proceedings. https:\/\/aisel.aisnet.org\/icis2019\/data_science\/data_science\/14"},{"issue":"4","key":"10217_CR28","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1080\/10864415.2019.1655207","volume":"23","author":"J Lee","year":"2019","unstructured":"Lee, J., & Hong, I. B. (2019). Consumer\u2019s electronic word-of-mouth adoption: The trust transfer perspective. International Journal of Electronic Commerce, 23(4), 595\u2013627. https:\/\/doi.org\/10.1080\/10864415.2019.1655207","journal-title":"International Journal of Electronic Commerce"},{"issue":"2","key":"10217_CR29","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1016\/j.im.2018.04.007","volume":"56","author":"X Li","year":"2019","unstructured":"Li, X., Wu, C., & Mai, F. (2019). The effect of online reviews on product sales: A joint sentiment-topic analysis. Information and Management, 56(2), 172\u2013184. https:\/\/doi.org\/10.1016\/j.im.2018.04.007","journal-title":"Information and Management"},{"issue":"4","key":"10217_CR30","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1287\/isre.1070.0154","volume":"19","author":"X Li","year":"2008","unstructured":"Li, X., & Hitt, L. M. (2008). Self-selection and information role of online product reviews. Information Systems Research, 19(4), 456\u2013474. https:\/\/doi.org\/10.1287\/isre.1070.0154","journal-title":"Information Systems Research"},{"key":"10217_CR31","doi-asserted-by":"publisher","unstructured":"Lin, Z., & Heng, C. S. (2015). The paradoxes of word of mouth in electronic commerce. Journal of Management Information Systems, 32(4). https:\/\/doi.org\/10.1080\/07421222.2015.1138572","DOI":"10.1080\/07421222.2015.1138572"},{"key":"10217_CR32","doi-asserted-by":"crossref","unstructured":"Liu, B. (2012). Sentiment analysis and opinion mining. Morgan & Claypool Publishers.","DOI":"10.1007\/978-3-031-02145-9"},{"issue":"1","key":"10217_CR33","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1016\/j.dss.2013.05.005","volume":"56","author":"C Luo","year":"2013","unstructured":"Luo, C., Luo, X., Schatzberg, L., & Sia, C. L. (2013). Impact of informational factors on online recommendation credibility: The moderating role of source credibility. Decision Support Systems, 56(1), 92\u2013102. https:\/\/doi.org\/10.1016\/j.dss.2013.05.005","journal-title":"Decision Support Systems"},{"issue":"3","key":"10217_CR34","doi-asserted-by":"publisher","first-page":"279","DOI":"10.2753\/MIS0742-1222300310","volume":"30","author":"X Ma","year":"2013","unstructured":"Ma, X., Khansa, L., Deng, Y., & Kim, S. S. (2013). Impact of prior reviews on the subsequent review process in reputation systems. Journal of Management Information Systems, 30(3), 279\u2013310. https:\/\/doi.org\/10.2753\/MIS0742-1222300310","journal-title":"Journal of Management Information Systems"},{"key":"10217_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.dss.2017.03.010","volume":"98","author":"E Maslowska","year":"2017","unstructured":"Maslowska, E., Malthouse, E. C., & Viswanathan, V. (2017). Do customer reviews drive purchase decisions? The moderating roles of review exposure and price. Decision Support Systems, 98, 1\u20139. https:\/\/doi.org\/10.1016\/j.dss.2017.03.010","journal-title":"Decision Support Systems"},{"issue":"3","key":"10217_CR36","doi-asserted-by":"publisher","first-page":"444","DOI":"10.1509\/jmkr.48.3.444","volume":"48","author":"WW Moe","year":"2011","unstructured":"Moe, W. W., Trusov, M., & Smith, R. H. (2011). The value of social dynamics in online product ratings forums. Journal of Marketing Research, 48(3), 444\u2013456. https:\/\/doi.org\/10.1509\/jmkr.48.3.444","journal-title":"Journal of Marketing Research"},{"issue":"1","key":"10217_CR37","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1509\/jmkg.74.1.108","volume":"74","author":"S Moon","year":"2010","unstructured":"Moon, S., Bergey, P. K., & Lacobucci, D. (2010). Dynamic effects among movie ratings, movie revenues and viewer satisfaction. Journal of Marketing, 74(1), 108\u2013121. https:\/\/doi.org\/10.1509\/jmkg.74.1.108","journal-title":"Journal of Marketing"},{"key":"10217_CR38","doi-asserted-by":"crossref","unstructured":"Mudambi, S. M., & Schuff, D. (2010). What makes a helpful online review? A study of customer reviews on Amazon.com. MIS Quarterly, 34(1), 185\u2013200. https:\/\/ssrn.com\/abstract=2175066","DOI":"10.2307\/20721420"},{"key":"10217_CR39","doi-asserted-by":"crossref","unstructured":"Mudambi, S. M., Schuff, D., & Zhang, Z. (2014). Why aren\u2019t the stars aligned? An analysis of online review content and star ratings. 2014 47thHawaii international conference on system sciences, 3139\u20133147. doi: 10.1109\/HICSS.2014.389.","DOI":"10.1109\/HICSS.2014.389"},{"key":"10217_CR40","doi-asserted-by":"crossref","unstructured":"Oliver, R. L. (1980). A congitive model of the antecedents and consequences of satisfaction decisions. In Journal of Marketing Research (Vol. 17).","DOI":"10.2307\/3150499"},{"issue":"4","key":"10217_CR41","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1287\/isre.1060.0106","volume":"17","author":"PA Pavlou","year":"2006","unstructured":"Pavlou, P. A., & Dimoka, A. (2006). The nature and role of feedback text comments in online marketplaces: Implications for trust building, price premiums and seller differentiation. Information Systems Research, 17(4), 392\u2013414. https:\/\/doi.org\/10.1287\/isre.1060.0106","journal-title":"Information Systems Research"},{"key":"10217_CR42","unstructured":"Pryzant, R., Chung, Y. Joo, & Jurafsky, D. (2017). Predicting sales from the language of product descriptions. CEUR Workshop Proceedings, 2311."},{"issue":"3","key":"10217_CR43","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1287\/isre.2017.0736","volume":"29","author":"N Sahoo","year":"2018","unstructured":"Sahoo, N., Dellarocas, C., & Srinivasan, S. (2018). The impact of online product reviews on product returns. Information Systems Research, 29(3), 723\u2013738. https:\/\/doi.org\/10.1287\/isre.2017.0736","journal-title":"Information Systems Research"},{"key":"10217_CR44","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.dss.2015.10.006","volume":"81","author":"M Salehan","year":"2016","unstructured":"Salehan, M., & Kim, D. J. (2016). Predicting the performance of online consumer reviews: A sentiment mining approach to big data analytics. Decision Support Systems, 81, 30\u201340. https:\/\/doi.org\/10.1016\/j.dss.2015.10.006","journal-title":"Decision Support Systems"},{"key":"10217_CR45","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.dss.2018.01.002","volume":"107","author":"M Siering","year":"2018","unstructured":"Siering, M., Deokar, A. V., & Janze, C. (2018). Disentangling consumer recommendations: Explaining and predicting airline recommendations based on online reviews. Decision Support Systems, 107, 52\u201363. https:\/\/doi.org\/10.1016\/j.dss.2018.01.002","journal-title":"Decision Support Systems"},{"key":"10217_CR46","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.intmar.2018.12.003","volume":"48","author":"V Srivastava","year":"2019","unstructured":"Srivastava, V., & Kalro, A. D. (2019). Enhancing the helpfulness of online consumer reviews: The role of latent (content) factors. Journal of Interactive Marketing, 48, 33\u201350. https:\/\/doi.org\/10.1016\/j.intmar.2018.12.003","journal-title":"Journal of Interactive Marketing"},{"issue":"4","key":"10217_CR47","doi-asserted-by":"publisher","first-page":"217","DOI":"10.2753\/MIS0742-1222290408","volume":"29","author":"S Stieglitz","year":"2013","unstructured":"Stieglitz, S., & Dang-Xuan, L. (2013). Emotions and information diffusion in social media - sentiment of microblogs and sharing behavior. Journal of Management Information Systems, 29(4), 217\u2013247. https:\/\/doi.org\/10.2753\/MIS0742-1222290408","journal-title":"Journal of Management Information Systems"},{"issue":"4","key":"10217_CR48","doi-asserted-by":"publisher","first-page":"696","DOI":"10.1287\/mnsc.1110.1458","volume":"58","author":"M Sun","year":"2012","unstructured":"Sun, M. (2012). How does the variance of product ratings matter? Management Science, 58(4), 696\u2013707. https:\/\/doi.org\/10.1287\/mnsc.1110.1458","journal-title":"Management Science"},{"key":"10217_CR49","doi-asserted-by":"crossref","unstructured":"Suryadi, D. ;, & Kim, H. (2019, August). Automatic identification of product usage contexts from online customer reviews. Proceedings of the 22nd international conference on engineering design (ICED19). doi: 10.1017\/dsi.2019.257.","DOI":"10.1017\/dsi.2019.257"},{"key":"10217_CR50","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.dss.2015.10.007","volume":"81","author":"R Ullah","year":"2016","unstructured":"Ullah, R., Amblee, N., Kim, W., & Lee, H. (2016). From valence to emotions: Exploring the distribution of emotions in online product reviews. Decision Support Systems, 81, 41\u201353. https:\/\/doi.org\/10.1016\/j.dss.2015.10.007","journal-title":"Decision Support Systems"},{"issue":"July","key":"10217_CR51","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/j.jbusres.2019.07.028","volume":"104","author":"F Wang","year":"2019","unstructured":"Wang, F., & Karimi, S. (2019). This product works well (for me): The impact of first-person singular pronouns on online review helpfulness. Journal of Business Research, 104(July), 283\u2013294. https:\/\/doi.org\/10.1016\/j.jbusres.2019.07.028","journal-title":"Journal of Business Research"},{"key":"10217_CR52","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1007\/978-3-540-92185-1_39","volume-title":"Internet and network economics","author":"F Wu","year":"2008","unstructured":"Wu, F., & Huberman, B. A. (2008). How public opinion forms. In C. Papadimitriou & S. Zhang (Eds.), Internet and network economics (pp. 334\u2013341). Springer."},{"key":"10217_CR53","doi-asserted-by":"crossref","unstructured":"Yin, D., Bond, S. D., & Zhang, H. (2014). Anxious or angry? Effects of discrete emotions on the perceived helpfulness of online reviews. MIS quarterly, 38(2), 539\u2013560. Doi: 10.25300\/MISQ\/2014\/38.2.10.","DOI":"10.25300\/MISQ\/2014\/38.2.10"},{"issue":"4","key":"10217_CR54","doi-asserted-by":"publisher","first-page":"720","DOI":"10.1109\/TKDE.2010.269","volume":"24","author":"X Yu","year":"2012","unstructured":"Yu, X., Liu, Y., Huang, X., & An, A. (2012). Mining online reviews for predicting sales performance: A case study in the movie domain. IEEE Transactions on Knowledge and Data Engineering, 24(4), 720\u2013734. https:\/\/doi.org\/10.1109\/TKDE.2010.269","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"10217_CR55","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.dss.2016.09.016","volume":"93","author":"S Zhou","year":"2017","unstructured":"Zhou, S., & Guo, B. (2017). The order effect on online review helpfulness: A social influence perspective. Decision Support Systems, 93, 77\u201387. https:\/\/doi.org\/10.1016\/j.dss.2016.09.016","journal-title":"Decision Support Systems"},{"issue":"2","key":"10217_CR56","doi-asserted-by":"publisher","first-page":"510","DOI":"10.1080\/07421222.2018.1451956","volume":"35","author":"S Zhou","year":"2018","unstructured":"Zhou, S., Qiao, Z., Du, Q., Wang, G. A., Fan, W., & Yan, X. (2018). Measuring customer agility from online reviews using big data text analytics. Journal of Management Information Systems, 35(2), 510\u2013539. https:\/\/doi.org\/10.1080\/07421222.2018.1451956","journal-title":"Journal of Management Information Systems"},{"key":"10217_CR57","doi-asserted-by":"crossref","unstructured":"Zhou, X., Wan, X., & Xiao, J. (2015). Representation learning for aspect category detection in online reviews. Proceedings of the AAAI conference on artificial intelligence, 29(1 SE-AAAI technical track: AI and the web). https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/9194","DOI":"10.1609\/aaai.v29i1.9194"}],"container-title":["Information Systems Frontiers"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10796-021-10217-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10796-021-10217-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10796-021-10217-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,16]],"date-time":"2022-12-16T05:21:43Z","timestamp":1671168103000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10796-021-10217-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,9]]},"references-count":58,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["10217"],"URL":"https:\/\/doi.org\/10.1007\/s10796-021-10217-6","relation":{},"ISSN":["1387-3326","1572-9419"],"issn-type":[{"value":"1387-3326","type":"print"},{"value":"1572-9419","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,9]]},"assertion":[{"value":"17 October 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 November 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}