Enhancing Online Discussion Forums with Topic-Driven Content Search and Assisted Posting

Online forums represent nowadays one of the most popular and rich repository of user generated information over the Internet. Searching information of interest in an online forum may be substantially improved by a proper organization of the forum content. With this aim, in this paper we propose an a...

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Autores principales: Distante, Damiano, Fernández, Alejandro, Cerulo, Luigi, Visaggio, Aaron
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2014
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/137697
Aporte de:
id I19-R120-10915-137697
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Informática
Online discussion forums
information search
Information extraction
text mining
Topic modeling
navigability
searchability
assisted posting
E-learning
Learning management systems
Moodle
spellingShingle Informática
Online discussion forums
information search
Information extraction
text mining
Topic modeling
navigability
searchability
assisted posting
E-learning
Learning management systems
Moodle
Distante, Damiano
Fernández, Alejandro
Cerulo, Luigi
Visaggio, Aaron
Enhancing Online Discussion Forums with Topic-Driven Content Search and Assisted Posting
topic_facet Informática
Online discussion forums
information search
Information extraction
text mining
Topic modeling
navigability
searchability
assisted posting
E-learning
Learning management systems
Moodle
description Online forums represent nowadays one of the most popular and rich repository of user generated information over the Internet. Searching information of interest in an online forum may be substantially improved by a proper organization of the forum content. With this aim, in this paper we propose an approach that enhances an existing forum by introducing a navigation structure that enables searching and navigating the forum content by topics of discussion. Topics and hierarchical relations between them are semi-automatically extracted from the forum content by applying Information Retrieval techniques, specifically Topic Models and Formal Concept Analysis. Then, forum posts and discussion threads are associated to discussion topics on a similarity score basis. Moreover, to support automatic moderation in websites that host several forums, we propose a strategy to assist a user writing a new post in choosing the most appropriate forum into which it should be added. An implementation of the topic-driven content search and navigation and assisted posting forum enhancement approaches for the Moodle learning management system is also presented in the paper, opening to the application of these approaches to several real distance learning contexts. Finally, we also report on two case studies that we have conducted to validate the two approaches and evaluate their benefits.
format Objeto de conferencia
Objeto de conferencia
author Distante, Damiano
Fernández, Alejandro
Cerulo, Luigi
Visaggio, Aaron
author_facet Distante, Damiano
Fernández, Alejandro
Cerulo, Luigi
Visaggio, Aaron
author_sort Distante, Damiano
title Enhancing Online Discussion Forums with Topic-Driven Content Search and Assisted Posting
title_short Enhancing Online Discussion Forums with Topic-Driven Content Search and Assisted Posting
title_full Enhancing Online Discussion Forums with Topic-Driven Content Search and Assisted Posting
title_fullStr Enhancing Online Discussion Forums with Topic-Driven Content Search and Assisted Posting
title_full_unstemmed Enhancing Online Discussion Forums with Topic-Driven Content Search and Assisted Posting
title_sort enhancing online discussion forums with topic-driven content search and assisted posting
publishDate 2014
url http://sedici.unlp.edu.ar/handle/10915/137697
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AT visaggioaaron enhancingonlinediscussionforumswithtopicdrivencontentsearchandassistedposting
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