Have a personal or library account? Click to login
A Lexical Approach to Estimating Environmental Goods and Services Output in the Construction Sector via Soft Classification of Enterprise Activity Descriptions Using Latent Dirichlet Allocation Cover

A Lexical Approach to Estimating Environmental Goods and Services Output in the Construction Sector via Soft Classification of Enterprise Activity Descriptions Using Latent Dirichlet Allocation

By: Gerard Keogh  
Open Access
|Sep 2019

References

  1. Blei, D., A.Y. Ng, and M. Jordan. 2003. “Latent Dirichlet Allocation.” Journal of Machine Learning Research 3: 993–1022. Available at: http://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf (accessed May 2016).
  2. Blei, D. and J. Lafferty. 2006. “Dynamic Topic Models.” Proceedings of the 23rd International Conference on Machine Learning, 113–120, Pittsburgh, Pennsylvania, U.S.A., June 25 – 29, 2006. Doi: https://doi.org/10.1145/1143844.1143859.10.1145/1143844.1143859
  3. Blei, D. and J. Lafferty. 2007. “A Correlated Topic Model of Science.” Annals of Applied Statistics 1(1): 17–35. Doi: https://doi.org/10.1214/07-AOAS114.10.1214/07-AOAS114
  4. Blei, D. and J. Lafferty. 2009. “Topic Models.” Available at: http://www.cs.columbia.edu/~blei/papers/BleiLafferty2009.pdf (accessed April 2016).10.1201/9781420059458.ch4
  5. BLS. 2011. “Green Goods and Services Survey.” Available at: http://www.bls.gov/ggs/, BLS, USA (accessed May 2016).
  6. Carpenter, B. 2010. “Integrating Out Multinomial Parameters in Latent Dirichlet Allocation and Naive Bayes for Collapsed Gibbs Sampling.” Available at: https://lingpipe.files.wordpress.com/2010/07/lda3.pdf (accessed May 2016).
  7. Chang, J. and A. Dai. 2015. “‘Package-lda’: Collapsed Gibbs Sampling Methods for Topic Models.” Available at: https://cran.r-project.org/web/packages/lda/lda.pdf (accessed May 2016).
  8. Department of Environment. 2013. “Construction Activity Completion Statistics.” Available at: http://www.housing.gov.ie/housing/statistics/house-building-and-private-rented/construction-activity-completions, Ireland (accessed April 2016).
  9. Eurostat. 2015. “A Practical Guide for the Compilation of Environmental Goods and Services (EGSS) Accounts.” Unit E2, Eurostat, Luxembourg. Doi: https://doi.org/10.2785/688181.10.2785/688181
  10. EU-691. 2011. “EU REGULATION (EU) No 691/2011 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 6 July 2011 on European environmental economic accounts.” Available at: https://eur-lex.europa.eu/legal-content/EN/ALL/?uri=CELEX%3A32011R0691 (accessed 2013).
  11. Geman, S. and D. Geman. 1984. “Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images.” IEEE Transactions on Pattern Analysis and Machine Intelligence 6: 721–741.10.1109/TPAMI.1984.4767596
  12. Griffiths, T. and M. Steyvers. 2004. “Finding Scientific Topics.” Proceedings of the National Academy of Science, USA, 101, 5228–5235.10.1073/pnas.0307752101
  13. Heinrich, G. 2009. “Parameter Estimation for Text Analysis.” Technical Report Fraunhofer IGD, Darmstadt, Germany. Available at: http://www.arbylon.net/publications/text-est2.pdf (accessed April 2016).
  14. Hornik, K. and B. Grün. 2011. “topicmodels: An R Package for Fitting Topic Models.” Journal of Statistical Software 40(13): 1 – 30. Doi: https://doi.org/10.18637/jss.v040.i13.10.18637/jss.v040.i13
  15. McCallum, A. 2002. “MALLET: A Machine Learning for Language Toolkit.” Available at: http://mallet.cs.umass.edu (access May 2016).
  16. Minka, T. and J. Lafferty. 2002. “Expectation-propagation for the Generative Aspect Model.” Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence, 352–359, Alberta, Canada, August 1–4, 2002. Available at: https://dl.acm.org/citation.cfm?id=2073918 (accessed April 2016).
  17. OECD. 1999. “THE ENVIRONMENTAL GOODS AND SERVICES INDUSTRY Manual for Data Collection and Analysis.” OECD, Paris. Available at: https://unstats.un.org/unsd/envaccounting/ceea/archive/EPEA/EnvIndustry_Manual_for_data_collection.PDF (accessed May 2016).
  18. ONS. 2015. “UK Environmental Goods and Services Sector (EGSS): 2010–2012.” Available at: http://www.ons.gov.uk/economy/environmentalaccounts/bulletins/ukenvironmentalaccounts/2015-04-15 (accessed October 2014).
  19. Ramage, D., D. Hall, R. Nallapati, and C.D. Manning. 2009. “Labeled LDA: A Supervised Topic Model for Credit Attribution in Multi-labeled Corpora.” Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 248–256, Singapore, August 6–7, 2009. Available at: https://www.aclweb.org/anthology/D09-1026 (accessed May 2016).10.3115/1699510.1699543
  20. RICS. 2016. “The Real Cost of New House Delivery, Royal Institute of Charter Surveyors.” Dublin, Ireland. Available at: https://www.scsi.ie/documents/get_lob?id=885&field=file (accessed May 2016).
  21. SEAI. 2013. “Sustainable Energy Authority of Ireland – Annual Report 2013.” Available at: https://www.seai.ie/Publications/SEAI_Corporate_Publications_/Annual_Reports/SEAI-Annual-Report-2013.pdf (accessed May 2016).
  22. Spärck Jones, K. 1972. “A Statistical Interpretation of Term Specificity and its Application in Retrieval.” Journal of Documentation 28: 11–21. Doi: https://doi.org/10.1.1.115.8343.10.1108/eb026526
  23. Statistics Estonia. 2015. “Development of the Methodology for the Compilation of Statistics of the Environmental Goods and Services Sector (EGSS) in Estonia.” Statistics Estonia.
  24. Wallach, H.M., I. Murray, R. Salakhutdinov, and D. Mimno. 2009. “Evaluation Methods for Topic Models.” Proceedings of the 26-th International Conference on Machine Learning”, 1105–1112, Montreal, Canada, June 14–18, 2009.10.1145/1553374.1553515
  25. Wang, Y. 2008. “Distributed Gibbs Sampling of Latent Topic Models: The Gritty Details.” Available at: https://cxwangyi.files.wordpress.com/2012/01/llt.pdf (accessed May 2016).
Language: English
Page range: 625 - 651
Submitted on: Jul 1, 2016
|
Accepted on: Dec 1, 2017
|
Published on: Sep 9, 2019
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Gerard Keogh, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.