skip to main content
10.1145/2723576.2723613acmotherconferencesArticle/Chapter ViewAbstractPublication PageslakConference Proceedingsconference-collections
short-paper

Topic facet modeling: semantic visual analytics for online discussion forums

Published: 16 March 2015 Publication History

Abstract

In this paper, we propose a novel Topic Facet Model (TFM), a probabilistic topic model that assumes all words in single sentence are generated from one topic facet. The model is applied to automatically extract forum posts semantics for uncovering the content latent structures. We further prototype a visual analytics interface to present online discussion forum semantics. We hypothesize that the semantic modeling through analytics on open online discussion forums can help users examine the post content by viewing the summarized topic facets. Our preliminary results demonstrated that TFM can be a promising method to extract topic specificity from conversational and relatively short texts in online programming discussion forums.

References

[1]
Arnold, K. E. (2010). Signals: Applying Academic Analytics. EDUCAUSE Quarterly, 33(1).
[2]
Barnes, T., & Stamper, J. (2008). Toward Automatic Hint Generation for Logic Proof Tutoring Using Historical Student Data. In B. Woolf, E. Aïmeur, R. Nkambou & S. Lajoie (Eds.), Intelligent Tutoring Systems (Vol. 5091, pp. 373--382): Springer Berlin Heidelberg.
[3]
Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. J. Mach. Learn. Res., 3, 993--1022.
[4]
Blikstein, P. (2011). Using learning analytics to assess students' behavior in open-ended programming tasks. Paper presented at the Proceedings of the 1st International Conference on Learning Analytics and Knowledge, Banff, Alberta, Canada.
[5]
Boyer, K. E., Phillips, R., Ingram, A., Ha, E. Y., Wallis, M., Vouk, M., & Lester, J. (2011). Investigating the Relationship Between Dialogue Structure and Tutoring Effectiveness: A Hidden Markov Modeling Approach. International Journal of Artificial Intelligence in Education, 21(1), 65--81.
[6]
Brandt, J., Dontcheva, M., Weskamp, M., & Klemmer, S. R. (2010). Example-centric programming: integrating web search into the development environment. Paper presented at the Proceedings of the 28th international conference on Human factors in computing systems, Atlanta, Georgia, USA.
[7]
Brusilovsky, P. (2001, October 23--27, 2001). WebEx: Learning from examples in a programming course. Paper presented at the WebNet'2001, World Conference of the WWW and Internet, Orlando, FL.
[8]
Dave, K., Wattenberg, M., & Muller, M. (2004). Flash forums and forumReader: navigating a new kind of large-scale online discussion. Paper presented at the Proceedings of the 2004 ACM conference on Computer supported cooperative work, Chicago, Illinois, USA.
[9]
Graesser, A. C., VanLehn, K., Rose, C. P., Jordan, P. W., & Harter, D. (2001). Intelligent Tutoring Systems with Conversational Dialogue. AI magazine, 22(4), 39.
[10]
Gretarsson, B., O, J., Donovan, Bostandjiev, S., H, T., #246, ... Smyth, P. (2012). TopicNets: Visual Analysis of Large Text Corpora with Topic Modeling. ACM Trans. Intell. Syst. Technol., 3(2), 1--26.
[11]
Hanrahan, B. V., Convertino, G., & Nelson, L. (2012). Modeling problem difficulty and expertise in stackoverflow. Paper presented at the Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion, Seattle, Washington, USA.
[12]
Hsiao, I.-H., & Brusilovsky, P. (2011). The Role of Community Feedback in the Student Example Authoring Process: an Evaluation of AnnotEx. British Journal of Educational Technology, 42(3), 482--499.
[13]
Indratmo, Vassileva, J., & Gutwin, C. (2008). Exploring blog archives with interactive visualization. Paper presented at the Proceedings of the working conference on Advanced visual interfaces, Napoli, Italy.
[14]
Jeon, J., Croft, W. B., & Lee, J. H. (2005). Finding similar questions in large question and answer archives. Paper presented at the Proceedings of the 14th ACM international conference on Information and knowledge management, Bremen, Germany.
[15]
Jo, Y., & Oh, A. H. (2011). Aspect and sentiment unification model for online review analysis. Paper presented at the Proceedings of the fourth ACM international conference on Web search and data mining, Hong Kong, China.
[16]
Kittur, A., Chi, E. H., & Suh, B. (2008). Crowdsourcing user studies with Mechanical Turk. Paper presented at the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Florence, Italy.
[17]
Lan, D., Buntine, W. L., & Huidong, J. (2010, 13--17 Dec. 2010). Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document. Paper presented at the Data Mining (ICDM), 2010 IEEE 10th International Conference on.
[18]
Lee, Y.-J., Kim, E.-K., Cho, H.-G., & Woo, G. (2013). Detecting and visualizing online dispute dynamics in replying comments. Software: Practice and Experience, 43(12), 1395--1413.
[19]
Liu, S., Zhou, M. X., Pan, S., Song, Y., Qian, W., Cai, W., & Lian, X. (2012). TIARA: Interactive, Topic-Based Visual Text Summarization and Analysis. ACM Trans. Intell. Syst. Technol., 3(2), 1--28.
[20]
Pirolli, P. L., & Anderson, J. R. (1985). The role of learning from examples in the acquisition of recursive programming skills. Canadian Journal of Psychology/Revue Canadienne De Psychologie, 39(2), 240--272.
[21]
Posnett, D., Warburg, E., Devanbu, P., & Filkov, V. (2012). Mining Stack Exchange: Expertise Is Evident from Initial Contributions. Paper presented at the Social Informatics (SocialInformatics), 2012 International Conference on, Lausanne.
[22]
Sande, C. v. d. (2010). Free, open, online, mathematics help forums: the good, the bad, and the ugly. Paper presented at the Proceedings of the 9th International Conference of the Learning Sciences - Volume 1, Chicago, Illinois.
[23]
Buckingham Shum, S. (2008). Cohere: Towards web 2.0 argumentation. COMMA, 8, 97--108.
[24]
Buckingham Shum, S., & Ferguson, R. (2012). Social Learning Analytics. Journal of Educational Technology & Society, 15(3), 3--26.
[25]
Siemens, G., & Baker, R. S. J. d. (2012). Learning analytics and educational data mining: towards communication and collaboration. Paper presented at the Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, Vancouver, British Columbia, Canada.
[26]
Snow, R., O'Connor, B., Jurafsky, D., & Ng, A. Y. (2008). Cheap and fast---but is it good?: evaluating non-expert annotations for natural language tasks. Paper presented at the Proceedings of the Conference on Empirical Methods in Natural Language Processing, Honolulu, Hawaii.
[27]
van de Sande, C., & Leinhard, G. (2007). Online tutoring in the Calculus: Beyond the limit of the limit. education, 1(2), 117--160.
[28]
Verbert, K., Duval, E., Klerkx, J., Govaerts, S., & Santos, J. L. (2013). Learning Analytics Dashboard Applications. American Behavioral Scientist.
[29]
Wang, Y., Agichtein, E., & Benzi, M. (2012). TM-LDA: efficient online modeling of latent topic transitions in social media. Paper presented at the Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, Beijing, China.
[30]
Wei, F., Liu, S., Song, Y., Pan, S., Zhou, M. X., Qian, W., ... Zhang, Q. (2010). TIARA: a visual exploratory text analytic system. Paper presented at the Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, Washington, DC, USA.
[31]
Wise, A. F., Zhao, Y., & Hausknecht, S. N. (2013). Learning analytics for online discussions: a pedagogical model for intervention with embedded and extracted analytics. Paper presented at the Proceedings of the Third International Conference on Learning Analytics and Knowledge, Leuven, Belgium

Cited By

View all
  • (2022)Understanding Distributed Tutorship in Online Language TutoringLAK22: 12th International Learning Analytics and Knowledge Conference10.1145/3506860.3506883(164-174)Online publication date: 21-Mar-2022
  • (2021)Clustering Introductory Computer Science Exercises Using Topic Modeling MethodsIEEE Transactions on Learning Technologies10.1109/TLT.2021.305690714:1(42-54)Online publication date: Feb-2021
  • (2019)Discussion Processes in Online ForumsAdvanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics10.4018/978-1-5225-7598-6.ch125(1702-1713)Online publication date: 2019
  • Show More Cited By

Index Terms

  1. Topic facet modeling: semantic visual analytics for online discussion forums

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    LAK '15: Proceedings of the Fifth International Conference on Learning Analytics And Knowledge
    March 2015
    448 pages
    ISBN:9781450334174
    DOI:10.1145/2723576
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 16 March 2015

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. LDA
    2. SLDA
    3. TFM
    4. automated assessment
    5. discourse analytics
    6. discussion forums
    7. learning analytics
    8. programming
    9. topic modeling

    Qualifiers

    • Short-paper

    Conference

    LAK '15

    Acceptance Rates

    LAK '15 Paper Acceptance Rate 20 of 74 submissions, 27%;
    Overall Acceptance Rate 236 of 782 submissions, 30%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)6
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 20 Jan 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2022)Understanding Distributed Tutorship in Online Language TutoringLAK22: 12th International Learning Analytics and Knowledge Conference10.1145/3506860.3506883(164-174)Online publication date: 21-Mar-2022
    • (2021)Clustering Introductory Computer Science Exercises Using Topic Modeling MethodsIEEE Transactions on Learning Technologies10.1109/TLT.2021.305690714:1(42-54)Online publication date: Feb-2021
    • (2019)Discussion Processes in Online ForumsAdvanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics10.4018/978-1-5225-7598-6.ch125(1702-1713)Online publication date: 2019
    • (2019)Exploring Programming Semantic Analytics with Deep Learning ModelsProceedings of the 9th International Conference on Learning Analytics & Knowledge10.1145/3303772.3303823(155-159)Online publication date: 4-Mar-2019
    • (2019)Service matchmaking for Internet of Things based on probabilistic topic modelFuture Generation Computer Systems10.1016/j.future.2018.11.04094(272-281)Online publication date: May-2019
    • (2018)Automatic Feature Learning for MOOC Forum Thread ClassificationProceedings of the 3rd International Conference on Big Data and Computing10.1145/3220199.3220201(65-70)Online publication date: 28-Apr-2018
    • (2018)Modeling Semantics between Programming Codes and AnnotationsProceedings of the 29th on Hypertext and Social Media10.1145/3209542.3209578(101-105)Online publication date: 3-Jul-2018
    • (2017)Perceiving Learning at a GlanceIEEE Transactions on Learning Technologies10.1109/TLT.2016.259952210:1(30-41)Online publication date: 1-Jan-2017
    • (2017)Enriching programming content semanticsComputers in Human Behavior10.1016/j.chb.2016.10.01272:C(771-782)Online publication date: 1-Jul-2017
    • (2016)Towards triggering higher-order thinking behaviors in MOOCsProceedings of the Sixth International Conference on Learning Analytics & Knowledge10.1145/2883851.2883964(398-407)Online publication date: 25-Apr-2016
    • Show More Cited By

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media