Topic analysis of online reviews for two competitive products using latent Dirichlet allocation
•Apply LDA to analyze competitive products using online reviews.•Analyze the competitive advantages and disadvantages of two competitive products.•Discover product feature complementarities in positive and negative reviews. The voice of the customer plays an important role in product competition. Tr...
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| Published in | Electronic commerce research and applications Vol. 29; pp. 142 - 156 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.05.2018
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1567-4223 1873-7846 |
| DOI | 10.1016/j.elerap.2018.04.003 |
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| Abstract | •Apply LDA to analyze competitive products using online reviews.•Analyze the competitive advantages and disadvantages of two competitive products.•Discover product feature complementarities in positive and negative reviews.
The voice of the customer plays an important role in product competition. Traditional methods in the area have largely focused on market research and questionnaire surveys to obtain customer preferences. However, online product reviews have provided a good and reliable channel for not only understanding customers needs for one product or service but also analyzing products’ competition in the market. In this paper, we propose a new framework of applying online product reviews to analyze customer preferences for two competitive products. We extract the key topics of online reviews for two specific competitive products via a text mining approach of latent Dirichlet allocation (LDA). Topic difference analysis demonstrates the unique topics of the two products. The relative importance and topic heterogeneity analyses identify the competitive superiorities and weaknesses of both products. Two case studies that are presented demonstrate the efficacy of the proposed framework. The method also provides valuable managerial implications for product designers and e-commerce companies. |
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| AbstractList | •Apply LDA to analyze competitive products using online reviews.•Analyze the competitive advantages and disadvantages of two competitive products.•Discover product feature complementarities in positive and negative reviews.
The voice of the customer plays an important role in product competition. Traditional methods in the area have largely focused on market research and questionnaire surveys to obtain customer preferences. However, online product reviews have provided a good and reliable channel for not only understanding customers needs for one product or service but also analyzing products’ competition in the market. In this paper, we propose a new framework of applying online product reviews to analyze customer preferences for two competitive products. We extract the key topics of online reviews for two specific competitive products via a text mining approach of latent Dirichlet allocation (LDA). Topic difference analysis demonstrates the unique topics of the two products. The relative importance and topic heterogeneity analyses identify the competitive superiorities and weaknesses of both products. Two case studies that are presented demonstrate the efficacy of the proposed framework. The method also provides valuable managerial implications for product designers and e-commerce companies. |
| Author | Feng, Yi Dai, Wenqiang Wang, Wenxin |
| Author_xml | – sequence: 1 givenname: Wenxin surname: Wang fullname: Wang, Wenxin – sequence: 2 givenname: Yi surname: Feng fullname: Feng, Yi email: fengyi@uestc.edu.cn – sequence: 3 givenname: Wenqiang surname: Dai fullname: Dai, Wenqiang email: wqdai@uestc.edu.cn |
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| Cites_doi | 10.1016/j.ijpe.2006.03.006 10.1509/jmr.12.0106 10.1287/mnsc.1050.0492 10.1016/0022-0531(78)90085-6 10.1109/18.61115 10.17562/PB-39-5 10.1080/10429247.1993.11414742 10.1016/j.dss.2009.09.003 10.1016/j.ejor.2014.02.042 10.1016/j.neucom.2008.06.011 10.25300/MISQ/2017/41.2.06 10.1016/j.cie.2016.07.005 10.1108/02656710110379075 10.1016/S0737-6782(00)00047-3 10.1287/mksc.2017.1048 10.1109/TKDE.2010.188 10.1016/j.tourman.2016.09.009 10.25300/MISQ/2015/39.3.03 10.1561/1500000011 10.1016/j.ijmedinf.2016.12.007 10.2307/41703504 10.1111/j.1937-5956.2009.01020.x 10.2307/2224214 10.1016/j.ejor.2016.10.028 10.1509/jmkr.45.3.280 10.1007/s10916-012-9915-2 10.1093/jcr/ucw070 10.1016/0167-7187(95)00486-6 10.1073/pnas.0307752101 10.2753/MIS0742-1222230207 10.1111/j.1467-6427.2006.00278.x 10.1509/jm.11.0011 10.1287/mnsc.47.1.52.10665 10.1002/asi.23716 10.1002/dir.20087 10.1136/amiajnl-2014-002711 10.1016/S0377-2217(96)00338-4 10.1214/aoms/1177729694 |
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| Keywords | Text mining Latent Dirichlet allocation Product competition Online product reviews Competitive analysis Topic analysis |
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| References | Krishnan, Zhu (b0160) 2006; 52 Sun, Long, Zhu, Huang (b0250) 2009; 39 Tkachenko, Lauw (b0260) 2017 Ordenes, Ludwig, De Ruyter, Grewal, Wetzels (b0210) 2017; 43 Ghose, Ipeirotis (b0085) 2011; 23 Pang, Lee (b0215) 2005 Hwarng, Teo (b0130) 2001; 18 Cristiano, Liker, White (b0045) 2000; 17 Griffiths, Steyvers (b0090) 2004; 101 Doraszelski, Draganska (b0065) 2006; 54 Guo, Barnes, Jia (b0095) 2017; 59 Paul, Zhai, Girju (b0230) 2010 Sipos, Joachims (b0245) 2013 Zhang, Guo, Goes (b0290) 2013; 3 Chen, Ko, Yeh (b0035) 2017; 259 Ho-Dac, Carson, Moore (b0110) 2013; 77 Blei, Ng, Jordan (b0015) 2003; 3 Puranam, Narayan, Kadiyali (b0235) 2017; 36 Ferreira, Thisse (b0070) 1996; 14 Kurashima, Bessho, Toda, Uchiyama, Kataoka (b0170) 2008 Mussa, Rosen (b0205) 1978; 18 . Dellarocas, Zhang, Awad (b0055) 2007; 21 Liu, Xu, Liu, Qu, Wang, Zou (b0195) 2013 Partovi (b0225) 2007; 105 Pang, Lee (b0220) 2008; 2 Katz (b0145) 2011; 24–25 Hao, Zhang, Wang, Gao (b0105) 2017; 99 Lin, He (b0185) 2009 Huang, Lu, Duan (b0125) 2013; 37 Ganapathibhotla, Liu (b0075) 2008 Xu, Liao, Lau, Tang, Wang (b0280) 2009 Brody, Elhadad (b0020) 2010 Jindal, Liu (b0135) 2006 Hansen, Jaumard, Meyer, Thisse (b0100) 1998; 104 Li, Wu (b0180) 2010; 48 DeSarbo, Grewal, Scott (b0060) 2008; 45 Kim, Zhai (b0150) 2009 Tirunillai, Tellis (b0255) 2014; 51 Dave, Lawrence, Pennock (b0050) 2003 Amazon.com, 2014. Your ratings and feedback. Available at Mimno, Wallach, Talley, Leenders, McCallum (b0200) 2011 Krishnan, Gupta (b0155) 2001; 47 Hu, Pavlou, Zhang (b0120) 2017; 41 Gao, Greenwood, Agarwal, McCullough (b0080) 2015; 39 Lin (b0190) 1991; 37 Kullback, Leibler (b0165) 1951; 22 Chau, Xu (b0030) 2012; 36 Clemons, Gao, Hitt (b0040) 2006; 23 Ramage, D., Rosen, E., 2011. Stanford topic modeling toolbox Version 0.4.0. Available online Cao, Xia, Li, Zhang, Tang (b0025) 2009; 72 Zhai, Velivelli, Yu (b0285) 2004 Kamvysi, Gotzamani, Andronikidis, Georgiou (b0140) 2014; 237 Varathan, Giachanou, Crestani (b0265) 2017 Wallace, Paul, Sarkar, Trikalinos, Dredze (b0270) 2014; 21 Bahill, Chapman (b0010) 1993; 5 Lacourbe, Loch, Kavadias (b0175) 2009; 18 Wang (b0275) 2017; 107 Hotelling (b0115) 1929; 39 Hotelling (10.1016/j.elerap.2018.04.003_b0115) 1929; 39 Hwarng (10.1016/j.elerap.2018.04.003_b0130) 2001; 18 Kurashima (10.1016/j.elerap.2018.04.003_b0170) 2008 Dellarocas (10.1016/j.elerap.2018.04.003_b0055) 2007; 21 Clemons (10.1016/j.elerap.2018.04.003_b0040) 2006; 23 Pang (10.1016/j.elerap.2018.04.003_b0220) 2008; 2 Ho-Dac (10.1016/j.elerap.2018.04.003_b0110) 2013; 77 Dave (10.1016/j.elerap.2018.04.003_b0050) 2003 10.1016/j.elerap.2018.04.003_b0005 10.1016/j.elerap.2018.04.003_b0240 Krishnan (10.1016/j.elerap.2018.04.003_b0155) 2001; 47 Wallace (10.1016/j.elerap.2018.04.003_b0270) 2014; 21 Zhai (10.1016/j.elerap.2018.04.003_b0285) 2004 DeSarbo (10.1016/j.elerap.2018.04.003_b0060) 2008; 45 Sun (10.1016/j.elerap.2018.04.003_b0250) 2009; 39 Ghose (10.1016/j.elerap.2018.04.003_b0085) 2011; 23 Hu (10.1016/j.elerap.2018.04.003_b0120) 2017; 41 Cao (10.1016/j.elerap.2018.04.003_b0025) 2009; 72 Mimno (10.1016/j.elerap.2018.04.003_b0200) 2011 Lacourbe (10.1016/j.elerap.2018.04.003_b0175) 2009; 18 Ordenes (10.1016/j.elerap.2018.04.003_b0210) 2017; 43 Puranam (10.1016/j.elerap.2018.04.003_b0235) 2017; 36 Varathan (10.1016/j.elerap.2018.04.003_b0265) 2017 Zhang (10.1016/j.elerap.2018.04.003_b0290) 2013; 3 Liu (10.1016/j.elerap.2018.04.003_b0195) 2013 Li (10.1016/j.elerap.2018.04.003_b0180) 2010; 48 Griffiths (10.1016/j.elerap.2018.04.003_b0090) 2004; 101 Doraszelski (10.1016/j.elerap.2018.04.003_b0065) 2006; 54 Sipos (10.1016/j.elerap.2018.04.003_b0245) 2013 Hao (10.1016/j.elerap.2018.04.003_b0105) 2017; 99 Bahill (10.1016/j.elerap.2018.04.003_b0010) 1993; 5 Cristiano (10.1016/j.elerap.2018.04.003_b0045) 2000; 17 Jindal (10.1016/j.elerap.2018.04.003_b0135) 2006 Blei (10.1016/j.elerap.2018.04.003_b0015) 2003; 3 Brody (10.1016/j.elerap.2018.04.003_b0020) 2010 Tirunillai (10.1016/j.elerap.2018.04.003_b0255) 2014; 51 Kim (10.1016/j.elerap.2018.04.003_b0150) 2009 Kamvysi (10.1016/j.elerap.2018.04.003_b0140) 2014; 237 Krishnan (10.1016/j.elerap.2018.04.003_b0160) 2006; 52 Katz (10.1016/j.elerap.2018.04.003_b0145) 2011; 24–25 Partovi (10.1016/j.elerap.2018.04.003_b0225) 2007; 105 Huang (10.1016/j.elerap.2018.04.003_b0125) 2013; 37 Kullback (10.1016/j.elerap.2018.04.003_b0165) 1951; 22 Chau (10.1016/j.elerap.2018.04.003_b0030) 2012; 36 Lin (10.1016/j.elerap.2018.04.003_b0185) 2009 Gao (10.1016/j.elerap.2018.04.003_b0080) 2015; 39 Ganapathibhotla (10.1016/j.elerap.2018.04.003_b0075) 2008 Pang (10.1016/j.elerap.2018.04.003_b0215) 2005 Chen (10.1016/j.elerap.2018.04.003_b0035) 2017; 259 Hansen (10.1016/j.elerap.2018.04.003_b0100) 1998; 104 Xu (10.1016/j.elerap.2018.04.003_b0280) 2009 Guo (10.1016/j.elerap.2018.04.003_b0095) 2017; 59 Ferreira (10.1016/j.elerap.2018.04.003_b0070) 1996; 14 Wang (10.1016/j.elerap.2018.04.003_b0275) 2017; 107 Paul (10.1016/j.elerap.2018.04.003_b0230) 2010 Tkachenko (10.1016/j.elerap.2018.04.003_b0260) 2017 Lin (10.1016/j.elerap.2018.04.003_b0190) 1991; 37 Mussa (10.1016/j.elerap.2018.04.003_b0205) 1978; 18 |
| References_xml | – volume: 37 start-page: 9915 year: 2013 ident: b0125 article-title: Latent treatment pattern discovery for clinical processes publication-title: J. Med. Syst. – volume: 22 start-page: 79 year: 1951 end-page: 86 ident: b0165 article-title: On information and sufficiency publication-title: Ann. Math. Stat. – volume: 18 start-page: 301 year: 1978 end-page: 317 ident: b0205 article-title: Monopoly and product quality publication-title: J. Econ. Theory – volume: 45 start-page: 280 year: 2008 end-page: 292 ident: b0060 article-title: A clusterwise bilinear multidimensional scaling methodology for simultaneous segmentation and positioning analyses publication-title: J. Mark. Res. – volume: 48 start-page: 354 year: 2010 end-page: 368 ident: b0180 article-title: Using text mining and sentiment analysis for online forums hotspot detection and forecast publication-title: Decis. Support Syst. – volume: 3 start-page: 1 year: 2013 end-page: 22 ident: b0290 article-title: product comparison networks for competitive analysis of online word-of-mouth publication-title: ACM Trans. Manag. Inf. Syst. – volume: 39 start-page: 41 year: 1929 end-page: 57 ident: b0115 article-title: Stability in competition publication-title: Econ. J. – volume: 77 start-page: 37 year: 2013 end-page: 53 ident: b0110 article-title: The effects of positive and negative online customer reviews: do brand strength and category maturity matter? publication-title: J. Mark. – volume: 105 start-page: 213 year: 2007 end-page: 227 ident: b0225 article-title: An analytical model of process choice in the chemical industry publication-title: Int. J. Prod. Econ. – volume: 43 start-page: 875 year: 2017 end-page: 894 ident: b0210 article-title: Unveiling what is written in the stars: analyzing explicit, implicit, and discourse patterns of sentiment in social media publication-title: J. Consum. Res. – start-page: 244 year: 2006 end-page: 251 ident: b0135 article-title: Identifying comparative sentences in text documents publication-title: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval – volume: 99 start-page: 37 year: 2017 end-page: 44 ident: b0105 article-title: A tale of two countries: international comparison of online doctor reviews between China and the United States publication-title: Int. J. Med. Inform. – start-page: 241 year: 2008 end-page: 248 ident: b0075 article-title: Mining opinions in comparative sentences publication-title: Proceedings of the 22nd International Conference on Computational Linguistics (COLING) – volume: 104 start-page: 154 year: 1998 end-page: 174 ident: b0100 article-title: New algorithms for product positioning publication-title: Eur. J. Oper. Res. – volume: 107 start-page: 367 year: 2017 end-page: 375 ident: b0275 article-title: Incorporating the concept of systematic innovation into quality function deployment for developing multi-functional smart phones publication-title: Comput. Ind. Eng. – volume: 59 start-page: 467 year: 2017 end-page: 483 ident: b0095 article-title: Mining meaning from online ratings and reviews: tourist satisfaction analysis using latent Dirichlet allocation publication-title: Tour. Manag. – volume: 72 start-page: 1775 year: 2009 end-page: 1781 ident: b0025 article-title: A density-based method for adaptive LDA model selection publication-title: Neurocomputing – volume: 18 start-page: 195 year: 2001 end-page: 226 ident: b0130 article-title: Translating customers’ voices into operations requirements: a QFD application in higher education publication-title: Int. J. Qual. Reliab. Manag. – volume: 36 start-page: 1189 year: 2012 end-page: 1216 ident: b0030 article-title: Business intelligence in blogs: understanding consumer interactions and communities publication-title: MIS Q. – volume: 101 start-page: 5228 year: 2004 end-page: 5235 ident: b0090 article-title: Finding scientific topics publication-title: Proc. Natl. Acad. Sci. – year: 2009 ident: b0280 article-title: Building Comparative Product Relation Maps by Mining Consumer Opinions on the Web – volume: 23 start-page: 1498 year: 2011 end-page: 1512 ident: b0085 article-title: Estimating the helpfulness and economic impact of product reviews: mining text and reviewer characteristics publication-title: IEEE Trans. Knowl. Data Eng. – volume: 47 start-page: 52 year: 2001 end-page: 68 ident: b0155 article-title: Appropriateness and impact of platform-based product development publication-title: Manage. Sci. – start-page: 115 year: 2005 end-page: 124 ident: b0215 article-title: Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales – volume: 51 start-page: 463 year: 2014 end-page: 479 ident: b0255 article-title: Mining marketing meaning from online chatter: strategic brand analysis of big data using latent Dirichlet allocation publication-title: J. Mark. Res. – reference: Amazon.com, 2014. Your ratings and feedback. Available at: – start-page: 804 year: 2010 end-page: 812 ident: b0020 article-title: An Unsupervised Aspect-Sentiment Model for Online Reviews – start-page: 743 year: 2004 end-page: 748 ident: b0285 article-title: A cross-collection mixture model for comparative text mining publication-title: Proceedings of the 2004 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining – start-page: 1886 year: 2013 end-page: 1891 ident: b0195 article-title: Comparative opinion sentences identification and elements extraction publication-title: Proceedings of the International Conference on Machine Learning and Cybernetics – year: 2017 ident: b0265 article-title: Comparative opinion mining: a review publication-title: J. Assoc. Inf. Sci. Technol. – start-page: 66 year: 2010 end-page: 76 ident: b0230 article-title: Summarizing contrastive viewpoints in opinionated text publication-title: Proc. 2010 Conf. Empir. Methods Nat. Lang. Process – start-page: 375 year: 2009 end-page: 384 ident: b0185 article-title: Joint sentiment/topic model for sentiment analysis publication-title: Proceeding of the 18th ACM Conference on Information and Knowledge Management – volume: 2 start-page: 1 year: 2008 end-page: 135 ident: b0220 article-title: Opinion mining and sentiment analysis publication-title: Found. Trends Inf. Retr. – volume: 41 start-page: 449 year: 2017 end-page: 471 ident: b0120 article-title: On self-selection biases in online product reviews publication-title: MIS Q. – start-page: 124 year: 2008 end-page: 133 ident: b0170 article-title: Ranking entities using comparative relations publication-title: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) – start-page: 1853 year: 2013 end-page: 1856 ident: b0245 article-title: Generating comparative summaries from reviews publication-title: Proceedings of the 22nd ACM Conference on Information and Knowledge Management – volume: 54 start-page: 125 year: 2006 end-page: 149 ident: b0065 article-title: Market segmentation strategies of multiproduct firms publication-title: J. Ind. Econ. – reference: Ramage, D., Rosen, E., 2011. Stanford topic modeling toolbox Version 0.4.0. Available online: – year: 2017 ident: b0260 article-title: Comparative Relation Generative Model – volume: 3 start-page: 993 year: 2003 end-page: 1022 ident: b0015 article-title: Latent Dirichlet allocation publication-title: J. Mach. Learn. Res. – volume: 39 start-page: 565 year: 2015 end-page: 589 ident: b0080 article-title: Vocal minority and silent majority: how do online ratings reflect population perceptions of quality? publication-title: MIS Q. – volume: 18 start-page: 315 year: 2009 end-page: 332 ident: b0175 article-title: Product positioning in a two-dimensional market space publication-title: Prod. Oper. Manag. – start-page: 262 year: 2011 end-page: 272 ident: b0200 article-title: Optimizing semantic coherence in topic models publication-title: Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing – volume: 14 start-page: 485 year: 1996 end-page: 506 ident: b0070 article-title: Horizontal and vertical differentiation: the Launhardt model publication-title: Int. J. Ind. Organ. – volume: 24–25 year: 2011 ident: b0145 article-title: Nine myths about the voice of the customer publication-title: Visions – volume: 37 start-page: 145 year: 1991 end-page: 151 ident: b0190 article-title: Divergence measures based on the Shannon entropy publication-title: IEEE Trans. Inf. Theory – volume: 39 start-page: 33 year: 2009 end-page: 40 ident: b0250 article-title: Mining reviews for product comparison and recommendation publication-title: Polibits – volume: 17 start-page: 286 year: 2000 end-page: 308 ident: b0045 article-title: Customer-driven product development through quality function deployment in the U.S. and Japan publication-title: J. Prod. Innov. Manag. – volume: 237 start-page: 1083 year: 2014 end-page: 1094 ident: b0140 article-title: Capturing and prioritizing students’ requirements for course design by embedding fuzzy-AHP and linear programming in QFD publication-title: Eur. J. Oper. Res. – volume: 36 start-page: 726 year: 2017 end-page: 746 ident: b0235 article-title: The effect of calorie posting regulation on consumer opinion: a flexible latent Dirichlet allocation model with informative priors publication-title: Mark. Sci. – volume: 5 start-page: 24 year: 1993 end-page: 35 ident: b0010 article-title: A tutorial on quality function deployment publication-title: Eng. Manag. J. – reference: . – volume: 259 start-page: 654 year: 2017 end-page: 663 ident: b0035 article-title: Approach based on fuzzy goal programing and quality function deployment for new product planning publication-title: Eur. J. Oper. Res. – volume: 23 start-page: 149 year: 2006 end-page: 171 ident: b0040 article-title: When online reviews meet hyperdifferentiation: a study of the craft beer industry publication-title: J. Manag. Inf. Syst. – start-page: 519 year: 2003 end-page: 528 ident: b0050 article-title: Mining the peanut gallery: Opinion extraction and semantic classification of product reviews publication-title: Proc. 12th Int. Conf. World Wide Web – volume: 21 start-page: 23 year: 2007 end-page: 45 ident: b0055 article-title: Exploring the value of online product reviews in forecasting sales: the case of motion pictures publication-title: J. Interact. Mark. – volume: 21 start-page: 1098 year: 2014 end-page: 1103 ident: b0270 article-title: A large-scale quantitative analysis of Latent factors and sentiment in online doctor reviews publication-title: J. Am. Med. Inform. Assoc. – start-page: 385 year: 2009 end-page: 394 ident: b0150 article-title: Generating comparative summaries of contradictory opinions in text publication-title: Proceeding of the 18th ACM Conference on Information and Knowledge Management – volume: 52 start-page: 813 year: 2006 end-page: 825 ident: b0160 article-title: Designing a family of development-intensive products publication-title: Manage. Sci. – volume: 105 start-page: 213 year: 2007 ident: 10.1016/j.elerap.2018.04.003_b0225 article-title: An analytical model of process choice in the chemical industry publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2006.03.006 – start-page: 1853 year: 2013 ident: 10.1016/j.elerap.2018.04.003_b0245 article-title: Generating comparative summaries from reviews – volume: 51 start-page: 463 year: 2014 ident: 10.1016/j.elerap.2018.04.003_b0255 article-title: Mining marketing meaning from online chatter: strategic brand analysis of big data using latent Dirichlet allocation publication-title: J. Mark. Res. doi: 10.1509/jmr.12.0106 – volume: 52 start-page: 813 year: 2006 ident: 10.1016/j.elerap.2018.04.003_b0160 article-title: Designing a family of development-intensive products publication-title: Manage. Sci. doi: 10.1287/mnsc.1050.0492 – volume: 18 start-page: 301 year: 1978 ident: 10.1016/j.elerap.2018.04.003_b0205 article-title: Monopoly and product quality publication-title: J. Econ. Theory doi: 10.1016/0022-0531(78)90085-6 – volume: 37 start-page: 145 year: 1991 ident: 10.1016/j.elerap.2018.04.003_b0190 article-title: Divergence measures based on the Shannon entropy publication-title: IEEE Trans. Inf. Theory doi: 10.1109/18.61115 – volume: 39 start-page: 33 year: 2009 ident: 10.1016/j.elerap.2018.04.003_b0250 article-title: Mining reviews for product comparison and recommendation publication-title: Polibits doi: 10.17562/PB-39-5 – volume: 5 start-page: 24 year: 1993 ident: 10.1016/j.elerap.2018.04.003_b0010 article-title: A tutorial on quality function deployment publication-title: Eng. Manag. J. doi: 10.1080/10429247.1993.11414742 – volume: 48 start-page: 354 year: 2010 ident: 10.1016/j.elerap.2018.04.003_b0180 article-title: Using text mining and sentiment analysis for online forums hotspot detection and forecast publication-title: Decis. Support Syst. doi: 10.1016/j.dss.2009.09.003 – start-page: 804 year: 2010 ident: 10.1016/j.elerap.2018.04.003_b0020 – volume: 237 start-page: 1083 year: 2014 ident: 10.1016/j.elerap.2018.04.003_b0140 article-title: Capturing and prioritizing students’ requirements for course design by embedding fuzzy-AHP and linear programming in QFD publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2014.02.042 – start-page: 241 year: 2008 ident: 10.1016/j.elerap.2018.04.003_b0075 article-title: Mining opinions in comparative sentences – volume: 72 start-page: 1775 year: 2009 ident: 10.1016/j.elerap.2018.04.003_b0025 article-title: A density-based method for adaptive LDA model selection publication-title: Neurocomputing doi: 10.1016/j.neucom.2008.06.011 – volume: 41 start-page: 449 year: 2017 ident: 10.1016/j.elerap.2018.04.003_b0120 article-title: On self-selection biases in online product reviews publication-title: MIS Q. doi: 10.25300/MISQ/2017/41.2.06 – volume: 107 start-page: 367 year: 2017 ident: 10.1016/j.elerap.2018.04.003_b0275 article-title: Incorporating the concept of systematic innovation into quality function deployment for developing multi-functional smart phones publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2016.07.005 – volume: 18 start-page: 195 year: 2001 ident: 10.1016/j.elerap.2018.04.003_b0130 article-title: Translating customers’ voices into operations requirements: a QFD application in higher education publication-title: Int. J. Qual. Reliab. Manag. doi: 10.1108/02656710110379075 – volume: 17 start-page: 286 year: 2000 ident: 10.1016/j.elerap.2018.04.003_b0045 article-title: Customer-driven product development through quality function deployment in the U.S. and Japan publication-title: J. Prod. Innov. Manag. doi: 10.1016/S0737-6782(00)00047-3 – volume: 36 start-page: 726 year: 2017 ident: 10.1016/j.elerap.2018.04.003_b0235 article-title: The effect of calorie posting regulation on consumer opinion: a flexible latent Dirichlet allocation model with informative priors publication-title: Mark. Sci. doi: 10.1287/mksc.2017.1048 – start-page: 743 year: 2004 ident: 10.1016/j.elerap.2018.04.003_b0285 article-title: A cross-collection mixture model for comparative text mining – start-page: 519 year: 2003 ident: 10.1016/j.elerap.2018.04.003_b0050 article-title: Mining the peanut gallery: Opinion extraction and semantic classification of product reviews – volume: 23 start-page: 1498 issue: 10 year: 2011 ident: 10.1016/j.elerap.2018.04.003_b0085 article-title: Estimating the helpfulness and economic impact of product reviews: mining text and reviewer characteristics publication-title: IEEE Trans. Knowl. Data Eng. doi: 10.1109/TKDE.2010.188 – volume: 24–25 issue: October year: 2011 ident: 10.1016/j.elerap.2018.04.003_b0145 article-title: Nine myths about the voice of the customer publication-title: Visions – volume: 59 start-page: 467 year: 2017 ident: 10.1016/j.elerap.2018.04.003_b0095 article-title: Mining meaning from online ratings and reviews: tourist satisfaction analysis using latent Dirichlet allocation publication-title: Tour. Manag. doi: 10.1016/j.tourman.2016.09.009 – ident: 10.1016/j.elerap.2018.04.003_b0240 – start-page: 66 year: 2010 ident: 10.1016/j.elerap.2018.04.003_b0230 article-title: Summarizing contrastive viewpoints in opinionated text – start-page: 385 year: 2009 ident: 10.1016/j.elerap.2018.04.003_b0150 article-title: Generating comparative summaries of contradictory opinions in text – year: 2009 ident: 10.1016/j.elerap.2018.04.003_b0280 – volume: 39 start-page: 565 year: 2015 ident: 10.1016/j.elerap.2018.04.003_b0080 article-title: Vocal minority and silent majority: how do online ratings reflect population perceptions of quality? publication-title: MIS Q. doi: 10.25300/MISQ/2015/39.3.03 – volume: 2 start-page: 1 year: 2008 ident: 10.1016/j.elerap.2018.04.003_b0220 article-title: Opinion mining and sentiment analysis publication-title: Found. Trends Inf. Retr. doi: 10.1561/1500000011 – volume: 99 start-page: 37 year: 2017 ident: 10.1016/j.elerap.2018.04.003_b0105 article-title: A tale of two countries: international comparison of online doctor reviews between China and the United States publication-title: Int. J. Med. Inform. doi: 10.1016/j.ijmedinf.2016.12.007 – volume: 36 start-page: 1189 year: 2012 ident: 10.1016/j.elerap.2018.04.003_b0030 article-title: Business intelligence in blogs: understanding consumer interactions and communities publication-title: MIS Q. doi: 10.2307/41703504 – volume: 18 start-page: 315 year: 2009 ident: 10.1016/j.elerap.2018.04.003_b0175 article-title: Product positioning in a two-dimensional market space publication-title: Prod. Oper. Manag. doi: 10.1111/j.1937-5956.2009.01020.x – volume: 39 start-page: 41 year: 1929 ident: 10.1016/j.elerap.2018.04.003_b0115 article-title: Stability in competition publication-title: Econ. J. doi: 10.2307/2224214 – start-page: 115 year: 2005 ident: 10.1016/j.elerap.2018.04.003_b0215 – year: 2017 ident: 10.1016/j.elerap.2018.04.003_b0260 – ident: 10.1016/j.elerap.2018.04.003_b0005 – start-page: 262 year: 2011 ident: 10.1016/j.elerap.2018.04.003_b0200 article-title: Optimizing semantic coherence in topic models – volume: 259 start-page: 654 year: 2017 ident: 10.1016/j.elerap.2018.04.003_b0035 article-title: Approach based on fuzzy goal programing and quality function deployment for new product planning publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2016.10.028 – volume: 45 start-page: 280 year: 2008 ident: 10.1016/j.elerap.2018.04.003_b0060 article-title: A clusterwise bilinear multidimensional scaling methodology for simultaneous segmentation and positioning analyses publication-title: J. Mark. Res. doi: 10.1509/jmkr.45.3.280 – volume: 37 start-page: 9915 year: 2013 ident: 10.1016/j.elerap.2018.04.003_b0125 article-title: Latent treatment pattern discovery for clinical processes publication-title: J. Med. Syst. doi: 10.1007/s10916-012-9915-2 – volume: 3 start-page: 993 year: 2003 ident: 10.1016/j.elerap.2018.04.003_b0015 article-title: Latent Dirichlet allocation publication-title: J. Mach. Learn. Res. – volume: 43 start-page: 875 year: 2017 ident: 10.1016/j.elerap.2018.04.003_b0210 article-title: Unveiling what is written in the stars: analyzing explicit, implicit, and discourse patterns of sentiment in social media publication-title: J. Consum. Res. doi: 10.1093/jcr/ucw070 – volume: 14 start-page: 485 year: 1996 ident: 10.1016/j.elerap.2018.04.003_b0070 article-title: Horizontal and vertical differentiation: the Launhardt model publication-title: Int. J. Ind. Organ. doi: 10.1016/0167-7187(95)00486-6 – start-page: 124 year: 2008 ident: 10.1016/j.elerap.2018.04.003_b0170 article-title: Ranking entities using comparative relations – volume: 101 start-page: 5228 year: 2004 ident: 10.1016/j.elerap.2018.04.003_b0090 article-title: Finding scientific topics publication-title: Proc. Natl. Acad. Sci. doi: 10.1073/pnas.0307752101 – volume: 23 start-page: 149 year: 2006 ident: 10.1016/j.elerap.2018.04.003_b0040 article-title: When online reviews meet hyperdifferentiation: a study of the craft beer industry publication-title: J. Manag. Inf. Syst. doi: 10.2753/MIS0742-1222230207 – volume: 3 start-page: 1 year: 2013 ident: 10.1016/j.elerap.2018.04.003_b0290 article-title: product comparison networks for competitive analysis of online word-of-mouth publication-title: ACM Trans. Manag. Inf. Syst. – volume: 54 start-page: 125 year: 2006 ident: 10.1016/j.elerap.2018.04.003_b0065 article-title: Market segmentation strategies of multiproduct firms publication-title: J. Ind. Econ. doi: 10.1111/j.1467-6427.2006.00278.x – volume: 77 start-page: 37 year: 2013 ident: 10.1016/j.elerap.2018.04.003_b0110 article-title: The effects of positive and negative online customer reviews: do brand strength and category maturity matter? publication-title: J. Mark. doi: 10.1509/jm.11.0011 – volume: 47 start-page: 52 year: 2001 ident: 10.1016/j.elerap.2018.04.003_b0155 article-title: Appropriateness and impact of platform-based product development publication-title: Manage. Sci. doi: 10.1287/mnsc.47.1.52.10665 – year: 2017 ident: 10.1016/j.elerap.2018.04.003_b0265 article-title: Comparative opinion mining: a review publication-title: J. Assoc. Inf. Sci. Technol. doi: 10.1002/asi.23716 – start-page: 1886 year: 2013 ident: 10.1016/j.elerap.2018.04.003_b0195 article-title: Comparative opinion sentences identification and elements extraction – volume: 21 start-page: 23 year: 2007 ident: 10.1016/j.elerap.2018.04.003_b0055 article-title: Exploring the value of online product reviews in forecasting sales: the case of motion pictures publication-title: J. Interact. Mark. doi: 10.1002/dir.20087 – volume: 21 start-page: 1098 year: 2014 ident: 10.1016/j.elerap.2018.04.003_b0270 article-title: A large-scale quantitative analysis of Latent factors and sentiment in online doctor reviews publication-title: J. Am. Med. Inform. Assoc. doi: 10.1136/amiajnl-2014-002711 – volume: 104 start-page: 154 year: 1998 ident: 10.1016/j.elerap.2018.04.003_b0100 article-title: New algorithms for product positioning publication-title: Eur. J. Oper. Res. doi: 10.1016/S0377-2217(96)00338-4 – start-page: 375 year: 2009 ident: 10.1016/j.elerap.2018.04.003_b0185 article-title: Joint sentiment/topic model for sentiment analysis – volume: 22 start-page: 79 issue: 1 year: 1951 ident: 10.1016/j.elerap.2018.04.003_b0165 article-title: On information and sufficiency publication-title: Ann. Math. Stat. doi: 10.1214/aoms/1177729694 – start-page: 244 year: 2006 ident: 10.1016/j.elerap.2018.04.003_b0135 article-title: Identifying comparative sentences in text documents |
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| SubjectTerms | Competitive analysis Latent Dirichlet allocation Online product reviews Product competition Text mining Topic analysis |
| Title | Topic analysis of online reviews for two competitive products using latent Dirichlet allocation |
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