참고문헌 (60)

1. ICWSM Akoglu 13 2 2013 Opinion fraud detection in online reviews by network effects 

2. Journal of Management Information Systems Awad 24 4 101 2008 10.2753/MIS0742-1222240404 Establishing trust in electronic commerce through online word of mouth: An examination across genders 

   상세보기

3. Banerjee 88 2015 Proceedings of the 9th international conference on ubiquitous information management and communication Using supervised learning to classify authentic and fake online reviews 

4. Machine learning Breiman 45 1 5 2001 10.1023/A:1010933404324 Random forests 

   

5. Breiman 1984 Classification and regression trees 

6. Journal of Promotion Management Chakraborty 24 1 57 2018 10.1080/10496491.2017.1346541 The effects of credible online reviews on brand equity dimensions and its consequence on consumer behavior 

   상세보기

7. Marketing Intelligence & Planning Chan 29 5 488 2011 10.1108/02634501111153692 Conceptualising electronic word of mouth activity: An input-process-output perspective 

   상세보기

8. Information Processing & Management Chen 53 6 1299 2017 10.1016/j.ipm.2017.08.001 An effective lda-based time topic model to improve blog search performance 

   상세보기

9. Management Science Chen 54 3 477 2008 10.1287/mnsc.1070.0810 Online consumer review: Word-of-mouth as a new element of marketing communication mix 

   상세보기

10. Journal of Marketing Research Chevalier 43 3 345 2006 10.1509/jmkr.43.3.345 The effect of word of mouth on sales: Online book reviews 

    상세보기

11. Journal of the Royal Statistical Society. Series B (Methodological) Cox 215 1958 10.1111/j.2517-6161.1958.tb00292.x The regression analysis of binary sequences 

    상세보기

12. International Journal of Electronic Commerce Cui 17 1 39 2012 10.2753/JEC1086-4415170102 The effect of online consumer reviews on new product sales 

    상세보기

13. Journal of Machine Learning Research Dem？ar 7 Jan 1 2006 Statistical comparisons of classifiers over multiple data sets 

14. Dewang 115 2015 Proceedings of the sixth international conference on computer and communication technology 2015 Identification of fake reviews using new set of lexical and syntactic features 

15. Dey 3 2011 Proceedings of the 2011 joint workshop on multilingual OCR and analytics for noisy unstructured text data Acquiring competitive intelligence from social media 

16. Journal of Interactive Marketing Dhar 23 4 300 2009 10.1016/j.intmar.2009.07.004 Does chatter matter? the impact of user-generated content on music sales 

    상세보기

17. ICWSM Fei 13 175 2013 Exploiting burstiness in reviews for review spammer detection 

18. ICWSM Feng 12 98 2012 Distributional footprints of deceptive product reviews 

19. Journal of Travel Research Filieri 53 1 44 2014 10.1177/0047287513481274 E-WOM and accommodation: An analysis of the factors that influence travelers’ adoption of information from online reviews 

    상세보기

20. Synthesis Lectures on Human Language Technologies Fitzpatrick 8 3 1 2015 10.2200/S00656ED1V01Y201507HLT029 Automatic detection of verbal deception 

    상세보기

21. Fornaciari 279 2014 Proceedings of the 14th conference of the european chapter of the association for computational linguistics Identifying fake amazon reviews as learning from crowds 

22. Machine Learning Friedman 29 2-3 131 1997 10.1023/A:1007465528199 Bayesian network classifiers 

    

23. Information Processing & Management Fusilier 51 4 433 2015 10.1016/j.ipm.2014.11.001 Detecting positive and negative deceptive opinions using pu-learning 

    상세보기

24. arXiv preprint arXiv:1402.3722 Goldberg 2014 Word2vec explained: Deriving Mikolov et al.’s negative-sampling word-embedding method 

25. Information Systems Research Gu 23 1 182 2012 10.1287/isre.1100.0343 Research note-the impact of external word-of-mouth sources on retailer sales of high-involvement products 

    상세보기

26. Applied Mathematics Ha 9 2L 373 2015 Impact of online consumer reviews on product sales: Quantitative analysis of the source effect 

27. Expert Systems with Applications Heydari 58 83 2016 10.1016/j.eswa.2016.03.020 Detection of fake opinions using time series 

    상세보기

28. Horrigan 2008 The Internet and consumer choice: online Americans use different search and purchase strategies for different goods 

29. Jindal 547 2007 Data mining, 2007. ICDM 2007. seventh IEEE international conference on Analyzing and detecting review spam 

30. Jindal 1189 2007 Proceedings of the 16th international conference on world wide web Review spam detection 

31. Jindal 219 2008 Proceedings of the 2008 international conference on web search and data mining Opinion spam and analysis 

32. CoRR Joulin 2016 Bag of tricks for efficient text classification 

33. Kouzis-Loukas 2016 Learning scrapy 

34. Lai 10456 112 2017 Extracting graph topological information and users’ opinion 

35. Li 3 2488 2011 IJCAI proceedings-international joint conference on artificial intelligence Learning to identify review spam 

36. Li 634 2015 ICWSM Analyzing and detecting opinion spam on a large-scale dataset via temporal and spatial patterns 

37. Li 317 2016 Information science and control engineering (ICISCE), 2016 3rd international conference on Detecting fake reviews utilizing semantic and emotion model 

38. Liu 396 2017 Software quality, reliability and security companion (QRS-C), 2017 ieee international conference on Identifying indicators of fake reviews based on spammer’s behavior features 

39. Management Science Luca 62 12 3412 2016 10.1287/mnsc.2015.2304 Fake it till you make it: Reputation, competition, and yelp review fraud 

    상세보기

40. American Economic Review Mayzlin 104 8 2421 2014 10.1257/aer.104.8.2421 Promotional reviews: An empirical investigation of online review manipulation 

    상세보기

41. MIS Quarterly Mudambi 185 2010 10.2307/20721420 Research note: What makes a helpful online review? a study of customer reviews on amazon. com 

    상세보기

42. Mukherjee 409 2013 Icwsm What Yelp fake review filter might be doing? 

43. Ott 309 2011 Proceedings of the 49th annual meeting of the association for computational linguistics: Human language technologies-volume 1 Finding deceptive opinion spam by any stretch of the imagination 

44. Information Processing & Management Ouyang 47 2 227 2011 10.1016/j.ipm.2010.03.005 Applying regression models to query-focused multi-document summarization 

    상세보기

45. Electronic Commerce Research and Applications Park 7 4 399 2008 10.1016/j.elerap.2007.12.001 The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews 

    상세보기

46. Electronic Commerce Research and Applications Park 11 3 253 2012 10.1016/j.elerap.2011.11.003 The relationship between retailer-hosted and third-party hosted wom sources and their influence on retailer sales 

    상세보기

47. Information Processing & Management Petz 50 6 899 2014 10.1016/j.ipm.2014.07.005 Computational approaches for mining user’s opinions on the web 2.0 

    상세보기

48. Knowledge-Based Systems Poria 108 42 2016 10.1016/j.knosys.2016.06.009 Aspect extraction for opinion mining with a deep convolutional neural network 

    상세보기

49. Potthast 668 2010 European conference on information retrieval Opinion summarization of web comments 

50. Journal of Advertising Research Riegner 47 4 436 2007 10.2501/S0021849907070456 Word of mouth on the web: The impact of web 2.0 on consumer purchase decisions 

    상세보기

51. Electronic Commerce Research Sotiriadis 13 1 103 2013 10.1007/s10660-013-9108-1 Electronic word-of-mouth and online reviews in tourism services: the use of twitter by tourists 

    상세보기

52. Tan 1397 2011 Proceedings of the 17th ACM SIGKDD international conference on knowledge discovery and data mining User-level sentiment analysis incorporating social networks 

53. Journal of Language and Social Psychology Tausczik 29 1 24 2010 10.1177/0261927X09351676 The psychological meaning of words: Liwc and computerized text analysis methods 

    상세보기

54. Vapnik 281 1997 Advances in neural information processing systems Support vector method for function approximation, regression estimation and signal processing 

55. Wang 1242 2011 2011 iEEE 11th international conference on data mining Review graph based online store review spammer detection 

56. Wang 90 2012 Proceedings of the 50th annual meeting of the association for computational linguistics: Short papers - volume 2 Baselines and bigrams: Simple, good sentiment and topic classification 

57. Bloomberg Business Week Weise 2011 A lie detector test for online reviewers 

58. Journal of Management Information Systems Zhang 33 2 456 2016 10.1080/07421222.2016.1205907 What online reviewer behaviors really matter? effects of verbal and nonverbal behaviors on detection of fake online reviews 

    상세보기

59. ICIS 2006 Proceedings Zhu 25 2006 The influence of online consumer reviews on the demand for experience goods: The case of video games 

60. Ziegler 1066 2006 Web intelligence, 2006. wi 2006. IEEE/WIC/ACM international conference on Towards automated reputation and brand monitoring on the web