Latent semantic analysis: Five methodological recommendations

European Journal of Information Systems

Volumn 21, Issue 1, 2012, Pages 70-86

  Evangelopoulos, Nicholas ^a   Zhang, Xiaoni ^b   Prybutok, Victor R ^a  

^a UNIVERSITY OF NORTH TEXAS   (United States)

^b NORTHERN KENTUCKY UNIVERSITY   (United States)

Author keywords

analysis of textual data; clustering; factor analysis; singular value decomposition; text mining

Indexed keywords

DIGITAL STORAGE; FACTOR ANALYSIS; SEMANTICS; SINGULAR VALUE DECOMPOSITION;

ANALYSIS OF TEXTUAL DATUM; CLUSTERING; LATENT SEMANTIC ANALYSIS; MATRIX OPERATIONS; METHODOLOGICAL APPROACH; PREDICTIVE MODELING; TEXT MINING; THEMATIC STRUCTURES;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84863011331     PISSN: 0960085X     EISSN: 14769344     Source Type: Journal    
DOI: 10.1057/ejis.2010.61     Document Type: Article

References (64)

1. ABBASI A and CHEN H (2008) CyberGate: A design framework and system for text analysis of computer-mediated communication. MIS Quarterly 32(4), 811-837.
2. ALTMAN M, GILL J and MCDONALD M (2004) Numerical Issues in Statistical Computing for the Social Scientist. Wiley Series in Probability and Statistics. John Wiley, Hoboken, NJ.
3. BAJWA IS, SAMAD A and MUMTAZ S (2009) Object oriented software modeling using NLP based knowledge extraction. European Journal of Scientific Research 35(1), 22-33.
4. BARRETT MI (1999) Challenges of EDI adoption for electronic trading in the London insurance market. European Journal of Information Systems 8(1), 1-15.
5. BERRY MW, BROWNE M, LANGVILLE AN, PAUCA VP and PLEMMONS RJ (2007) Algorithms and applications for approximate nonnegative matrix factorization. Computational Statistics & Data Analysis 52(1), 155-173. (Pubitemid 47331703)
6. BLEGIND JENSEN T and AANESTAD M (2007) Hospitality and hostility in hospitals: A case study of an EPR adoption among surgeons. European Journal of Information Systems 16(6), 672-680.
7. BLEI DM, NG AY and JORDAN MI (2003) Latent Dirichlet Allocation. Journal of Machine Learning Research 3, 993-1022.
8. BONDAROUK TV (2006) Action-oriented group learning in the implementation of information technologies: Results from three case studies. European Journal of Information Systems 15(1), 42-53. (Pubitemid 43323393)
9. BRADFORD RB (2008) An empirical study of required dimensionality for large-scale latent semantic indexing applications. CIKM'08: Proceedings of the 17th ACM Conference on Information and Knowledge Management (SHANAHAN J, AMER-YAHIA S, ZHANG Y, KOLCZ A, CHOWDURY A and KELLY D, Eds) pp 153-162, ACM, New York.
10. CHEW P, BADER B, KOLDA T and ABDELALI A (2007) Cross-language information retrieval using PARAFAC2. In Proceedings of the 13th ACM SIGKDD (GAFFNEY S, Ed.), pp 143-152, ACM Publications, Baltimore, MD. (Pubitemid 350229201)
11. CHO S and MATHIASSEN L (2007) The role of industry infrastructure in telehealth innovations: A multi-level analysis of a telestroke program. European Journal of Information Systems 16(6), 738-750.
12. COUGER JD and O'CALLAGHAN R (1994) Comparing the motivations of Spanish and Finnish computer personnel with those of the United States. European Journal of Information Systems 3(4), 285-291.
13. COUSSEMENT K and VAN DEN POEL D (2008) Improving customer complaint management by automatic email classification using linguistic style features as predictors. Decision Support Systems 44(4), 870-882.
14. DAM G and KAUFMANN S (2008) Computer assessment of interview data using latent semantic analysis. Behavior Research Methods 40(1), 8-20.
15. DAMSGAARD J and TRUEX D (2000) Binary trading relations and the limits of EDI standards: The Procrustean bed of standards. European Journal of Information Systems 9(3), 173-188.
16. DEERWESTER S, DUMAIS S, FURNAS G, LANDAUER T and HARSHMAN R (1990) Indexing by latent semantic analysis. Journal of the American Society for Information Science 41(6), 391-407.
17. DOXAS I, DENNIS S and OLIVER WL (2010) The dimensionality of discourse. Proceedings of the National Academy of Sciences of the United States of America (PNAS) 107, 4866-4871.
18. DUMAIS ST (1991) Improving the retrieval of information from external sources. Behavior Research Methods, Instruments, and Computers 23(2), 229-236.
19. DUMAIS ST (2004) Latent semantic analysis. Annual Review of Information Science and Technology 38, 189-230.
20. DUMAIS ST (2007) LSA and information retrieval: Getting back to basics. In Handbook of Latent Semantic Analysis (LANDAUER TK, MCNAMARA DS, DENNIS S and KINTSCH W, Eds), pp 293-322, Lawrence Erlbaum Associates, Mahwah, NJ.
21. DWIVEDI YK and KULJIS J (2008) Profile of IS research published in the European Journal of Information Systems. European Journal of Information Systems 17(6), 678-693.
22. EFRON M (2005) Eigenvalue-based model selection during latent semantic indexing. Journal of the American Society for Information Science and Technology 56(9), 969-988. (Pubitemid 41068131)
23. FRANZOSI R (2004) From Words to Numbers: Narrative, Data, and Social Science. Cambridge University Press, Cambridge, UK.
24. GALLIERS RD and WHITLEY EA (2007) Vive les differences? Developing a profile of European information systems research as a basis for international comparisons. European Journal of Information Systems 16(1), 20-35.
25. GHOSE A (2009) Internet exchanges for used goods: An empirical analysis of trade patterns and adverse selection. MIS Quarterly 33(2), 263-292.
26. GRIFFITHS T and STEYVERS M (2004) Finding scientific topics. Proceedings of the National Academy of Sciences of the United States of America (PNAS) 101, 5228-5235. (Pubitemid 38469131)
27. HALEY DT, THOMAS P, DE ROECK A and PETRE M (2007) Tuning an LSAbased assessment system for short answers in the domain of computer science: The elusive optimum dimension. In Mini-Proceedings of the 1st European Workshop on Latent Semantic Analysis in Technology-enhanced Learning (WILD F, KALZ M, VAN BRUGGEN J and KOPER R, Eds), pp 22-23, Open University of the Netherlands, Heerlen, NL.
28. HAN J and KAMBER M (2006) Data Mining: Concepts and Techniques. 2nd edn, Morgan Kaufmann (Elsevier), San Francisco, CA.
29. HOVORKA D and LARSEN K (2006) Enabling agile adoption practices through network organizations. European Journal of Information Systems 15(2), 159-168. (Pubitemid 44022571)
30. HOVORKA D, LARSEN K andMONARCHI D (2009) Conceptual convergences: Positioning information systems among the business disciplines. In Proceedings of the 17th European Conference on Information Systems (ECIS) (NEWELL S, WHITLEY E, POULOUDI N, WAREHAM J and MATHIASSEN L Eds), manuscript 0217.R1, published by Università di Verona and London School of Economics, Verona, Italy.
31. HU X, CAI Z, WIEMER-HASTINGS P, GRAESSER AC and MCNAMARA DS (2007) Strengths, limitations, and extensions of LSA. In Handbook of Latent Semantic Analysis (LANDAUER TK, MCNAMARA DS, DENNIS S and KINTSCH W, Eds), pp 401-425, Lawrence Erlbaum Associates, Mahwah, NJ.
32. HUSBANDS P, SIMON H and DING CH (2001) On the use of the singular value decomposition for text retrieval. In Computational Information Retrieval (BERRY M Ed.), pp 145-156, Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA.
33. JOHNSON RA and WICHERN DW (2007) Applied Multivariate Statistical Analysis. Pearson/Prentice Hall, NJ.
34. KUECHLER WL (2007) Business applications of unstructured text. Communications of the ACM 50(10), 86-93. (Pubitemid 47505004)
35. LANDAUER T, LAHAM D and DERR M (2004) From paragraph to graph: Latent semantic analysis for information visualization. Proceedings of the National Academy of Sciences of the United States of America (PNAS) 101, 5214-5219. (Pubitemid 38469129)
36. LANDAUER TK (2007) LSA as a theory of meaning. In Handbook of Latent Semantic Analysis (LANDAUER TK, MCNAMARA DS, DENNIS S and KINTSCH W, Eds), pp 3-32, Lawrence Erlbaum Associates, Mahwah, NJ.
37. LARSEN KR and MONARCHI DE (2004) A mathematical approach to categorization and labeling of qualitative data: The latent categorization method. Sociological Methodology 34(1), 349-392. (Pubitemid 40465525)
38. LARSEN KR, MONARCHI DE, HOVORKA DS and BAILEY CN (2008) Analyzing unstructured text data: Using latent categorization to identify intellectual communities in information systems. Decision Support Systems 45, 884-896.
39. LIFCHITZ A, JHEAN-LAROSE S and DENHIÈRE G (2009) Effect of tuned parameters on an LSA multiple choice questions answering model. Behavior Research Methods 41(4), 1201-1209.
40. MARTIN D and BERRY M (2007) Mathematical foundations behind latent semantic analysis. In Handbook of Latent Semantic Analysis (LANDAUER TK, MCNAMARA DS, DENNIS S and KINTSCH W, Eds), pp 33-57, Lawrence Erlbaum Associates, Mahwah, NJ.
41. MANNING C, RAGHAVAN P and SCHÜTZE H (2008) Introduction to Information Retrieval. Cambridge University Press, New York.
42. MEROÑO-CERDAN AL and SOTO-ACOSTA P (2007) External web content and its influence on organizational performance. European Journal of Information Systems 16(1), 66-80.
43. MOORE GC and BENBASAT I (1991) Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research 2(3), 192-222.
44. ORD T, MARTINS E, THAKUR S, MANE K and BÖRNER K (2005) Trends in animal behaviour research (1968-2002): Ethoinformatics and the mining of library databases. Animal Behaviour 69, 1399-1413. (Pubitemid 40793446)
45. PALVIA P, LEARY D, MAO E, MIDHA V, PINJANI P and SALAM AF (2004) Research methodologies in MIS: An update. Communications of the AIS 14, article 24, 526-542.
46. PANTELI A, STACK J, ATKINSON M and RAMSAY H (1999) The status of women in the UK IT industry: An empirical study. European Journal of Information Systems 8(3), 170-182.
47. PARK L and RAMAMOHANARAO K (2009) An analysis of latent semantic term self-correlation. ACM Transactions on Information Systems 27(2), 8:1-8:35.
48. PENUMATSA P, VENTURA M, GRAESSER AC, LOUWERSE M, HU X, CAI Z and FRANCESCHETTI DR (2006) The right threshold value: What is the right threshold of cosine measure when using Latent Semantic Analysis for evaluating student answers? International Journal on Artificial Intelligence Tools 15(5), 767-777. (Pubitemid 44600061)
49. PORTER M (1980) An algorithm for suffix stripping. Program 14(3), 130-137.
50. Republished as: Porter M (2006) An algorithm for suffix stripping. Program: Electronic Library and Information Systems 40(3), 211-218.
51. SALTON G (1975) A vector space model for automatic indexing. Communications of the ACM 18(11), 613-620.
52. SALTON G and BUCKLEY C (1988) Term-weighting approaches in automatic text retrieval. Information Processing and Management 24, 513-523.
53. SHAHNAZ F, BERRY MW, PAUCA VP and PLEMMONS RJ (2006) Document clustering using nonnegative matrix factorization. Information Processing and Management 42, 373-386. (Pubitemid 41394167)
54. SIDOROVA A, EVANGELOPOULOS N, VALACICH JS and RAMAKRISHNAN T (2008) Uncovering the intellectual core of the information systems discipline. MIS Quarterly 32(3), 467-482 & A1-A20.
55. SPOMER JE (2009) Latent Semantic Analysis and classification modeling in applications for social movement theory. MS Thesis, Department of Mathematical Sciences, Central Connecticut State University.
56. STEYVERS M and GRIFFITHS T (2007) Probabilistic topic models. In Handbook of Latent Semantic Analysis (LANDAUER TK, MCNAMARA DS, DENNIS S and KINTSCH W, Eds), pp 427-448, Lawrence Erlbaum Associates, Mahwah, NJ.
57. TEH YW, JORDAN MI, BEAL MJ and BLEI DM (2006) Hierarchical dirichlet processes. Journal of the American Statistical Association 101, 1566-1581.
58. VALLE-LISBOA JC and MIZRAJI E (2007) The uncovering of hidden structures by latent semantic analysis. Information Sciences 177(19), 4122-4147. (Pubitemid 47058094)
59. WEBER RP (1990) Basic Content Analysis. 2nd edn, Sage, Newbury Park, CA.
60. WEI C-P, HU PJ-H, TAI C-H, HUANG C-N and YANG C-S (2008b) Managing word mismatch problems in information retrieval: A topic-based query expansion approach. Journal of Management Information Systems 24(3), 269-295.
61. WEI C-P, YANG CC and LIN C-M (2008a) A latent semantic indexing-based approach to multilingual document clustering. Decision Support Systems 45, 606-620.
62. WILLCOCKS L, WHITLEY EA and AVGEROU C (2008) The ranking of top IS journals: A perspective from the London School of Economics. European Journal of Information Systems 17(2), 163-168.
63. WITTEN IH and FRANK E (2005) Data Mining: Practical Machine Learning Tools and Techniques. 2nd edn, Morgan Kaufmann, San Francisco, CA.
64. ZHU M and GHODSI A (2006) Automatic dimensionality selection from the scree plot via the use of profile likelihood. Computational Statistics & Data Analysis 51(2), 918-930. (Pubitemid 44635870)