Changes between Version 14 and Version 15 of private/NlpInPracticeCourse/TopicModelling

Timestamp:

Oct 20, 2021, 10:20:23 AM (3 years ago)

Author:

xrambous

Comment:

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private/NlpInPracticeCourse/TopicModelling

@@ -10 +10 @@
 
  1. David M. Blei, Andrew Y. Ng, and Michael I. Jordan. Latent Dirichlet Allocation. Journal of Machine Learning Research, 3:993 – 1022, 2003.
+ 1. Curiskis, S. A., Drake, B., Osborn, T. R., and Kennedy, P. J. (2020). An evaluation of document clustering and topic modelling in two online social networks: Twitter and reddit. Information Processing & Management, 57(2):102034.
  1. Yee W. Teh, Michael I. Jordan, Matthew J. Beal, and David M. Blei. Hierarchical Dirichlet processes . Journal of the American Statistical Association, 101:1566 – 1581, 2006.
- 1. S. T. Dumais, G. W. Furnas, T. K. Landauer, S. Deerwester, and R. Harshman. Using Latent Semantic Analysis to Improve Access to Textual Information. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’88, pages 281–285, New York, NY, USA, 1988. ACM. ISBN 0-201-14237-6.
  1. Castellanos, A., Juan Cigarrán, and Ana García-Serrano. "Formal concept analysis for topic detection: a clustering quality experimental analysis." Information Systems 66 (2017): 24-42.
- 1. K. H. Lim, S. Karunasekera and A. Harwood, "ClusTop: A clustering-based topic modelling algorithm for twitter using word networks," 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, 2017, pp. 2009-2018, doi: 10.1109/BigData.2017.8258147.
  1. Xie, Pengtao, and Eric P. Xing. "Integrating document clustering and topic modeling." arXiv preprint arXiv:1309.6874 (2013).
+ 1. Röder, M., Both, A., and Hinneburg, A. (2015). Exploring the space of topic coherence measures. In Proceedings of the eighth ACM international conference on Web search and data mining, pages 399–408.