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Summarizing web forum threads based on a latent topic propagation process

Zhaochun Ren, Jun Ma, Shuaiqiang Wang, Yang Liu
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
To handle this issue, this paper investigates the task of Web Forum Thread Summarization (WFTS), aiming to give a brief statement of each thread that involving multiple dynamic topics.  ...  With an increasingly amount of information in web forums, quick comprehension of threads in web forums has become a challenging research problem.  ...  Web Forum Thread Summarization works by extracting a group of sentences from all posts in one thread to constitute the summary.  ... 
doi:10.1145/2063576.2063703 dblp:conf/cikm/RenMWL11 fatcat:3ugku4w6hjgtffcjp5pkd6niee

Epidemic model for information diffusion in web forums: experiments in marketing exchange and political dialog

Jiyoung Woo, Hsinchun Chen
2016 SpringerPlus  
The model was evaluated on a large longitudinal dataset from the web forum of a major retail company and from a general political discussion forum.  ...  The fitting results showed that the SIR model is a plausible model to describe the diffusion process of a topic.  ...  Additionally, we can estimate how many authors have latent interest on each topic at the initial phase of the diffusion process.  ... 
doi:10.1186/s40064-016-1675-x pmid:26839759 pmcid:PMC4723377 fatcat:g6up23ssprdtdgcbrz647rovtu

Simultaneously modeling semantics and structure of threaded discussions

Chen Lin, Jiang-Ming Yang, Rui Cai, Xin-Jing Wang, Wei Wang
2009 Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '09  
a given board/subboard in web communities.  ...  In this paper, we propose a sparse coding-based model named SMSS to Simultaneously Model Semantics and Structure of threaded discussions.  ...  INTRODUCTION Threaded discussion has long been a popular option for web users to communicate with others, from thousands of web forum sites, mailing lists, chat rooms to web logs, instant messaging groups  ... 
doi:10.1145/1571941.1571966 dblp:conf/sigir/LinYCWW09 fatcat:vknjfnhlj5d3zhb4rqxqiyw2kq

Content Patterns in Topic-Based Overlapping Communities

Sebastián A. Ríos, Ricardo Muñoz
2014 The Scientific World Journal  
subcommunities detection approach) and the second one takes the textual information of the network nodes into consideration (topic-based subcommunities detection approach).  ...  This paper presents our main contribution, a hybrid algorithm which combines two different overlapping sub-community detection approaches: the first one considers the graph structure of the network (topology-based  ...  The dark web forum portal [23] is a web-based knowledge portal which was created based on a general framework for web forum data integration.  ... 
doi:10.1155/2014/105428 pmid:25161390 pmcid:PMC4000663 fatcat:n7dz5tz6vbfibmfw7mby6o6l7y

Modeling Online Posts on Irritable Bowel Syndrome from Adolescent Patients and Parents: Topic Modeling and Social Network Analysis (Preprint)

Bu Zhong, Qian Liu
2020 Journal of Medical Internet Research  
Adolescents with irritable bowel syndrome (IBS) are increasingly seeking and sharing information about their symptoms in web-based health care forums.  ...  Using the Latent Dirichlet Allocation algorithm and a latent Dirichlet allocation visualization tool, this study revealed 6 leading topics of concern in adolescents with IBS: school life, treatment or  ...  web-based health forums.  ... 
doi:10.2196/26867 pmid:34106078 fatcat:bxwqg6qjbnendjotkfjebtm2mu

Filtering big data from social media – Building an early warning system for adverse drug reactions

Ming Yang, Melody Kiang, Wei Shang
2015 Journal of Biomedical Informatics  
on a computational experiment using online discussion threads from Medhelp.  ...  With the popularity of social media, Web forums and discussion boards become important sources of data for consumers to share their drug use experience, as a result may provide useful information on drugs  ...  targeted Web forums.  ... 
doi:10.1016/j.jbi.2015.01.011 pmid:25688695 fatcat:ci7r7u6twjf5hozujo4v5qhomu

Roles in social networks: Methodologies and research issues

Mathilde Forestier, Anna Stavrianou, Julien Velcin, Djamel A. Zighed
2012 Web Intelligence and Agent Systems  
The expansion of web user roles is, nowadays, a fact due to the ability of users to interact, discuss, exchange ideas and opinions, and form social networks through the web.  ...  In this article, a survey of the state-of-the-art approaches is presented regarding the identification of roles within the context of a social network.  ...  Figure 5 shows the output of the learning process based on a RART-based model.  ... 
doi:10.3233/wia-2012-0236 fatcat:wb5uwcz2rfdo3lytd3bhc2cs6q

NesTPP: Modeling Thread Dynamics in Online Discussion Forums [article]

Chen Ling, Guangmo Tong, Mozi Chen
2020 arXiv   pre-print
In this paper, we design a novel temporal point process model to characterize information cascades in online discussion forums.  ...  Online discussion forum creates an asynchronous conversation environment for online users to exchange ideas and share opinions through a unique thread-reply communication mode.  ...  Other than the point process based methods, there also exist a large volume of feature-based approaches ( [12] , [27] - [29] ) that study the information propagation pattern mostly in friendship-based  ... 
arXiv:2003.06051v1 fatcat:c6jfyhwuxjghbpdyzresl6u2ka

Analyzing Self-Help Forums with Ontology-Based Text Mining: An Exploration in Kidney Space

Philipp Burckhardt, Rema Padman
2015 AMIA Annual Symposium Proceedings  
We introduce a text-processing algorithm based on semantic ontologies to allow for finer-grained analyses of online forums compared to standard methods.  ...  The Internet has emerged as a popular source for health-related information. More than eighty percent of American Internet users have searched for health topics online.  ...  In addition, popular topic modeling algorithms such as Latent Dirichlet Allocation (LDA) are mostly used to cluster documents into broad categories.  ... 
pmid:26958281 pmcid:PMC4765679 fatcat:ojkcbgq6ezgullqdb377hvx6ry

Incorporating Topic Aspects for Online Comment Convincingness Evaluation

Yunfan Gu, Zhongyu Wei, Maoran Xu, Hao Fu, Yang Liu, Xuanjing Huang
2018 Proceedings of the 5th Workshop on Argument Mining  
In order to test the effectiveness of our proposed model, we annotate topic information on top of a public dataset for argument convincingness evaluation.  ...  Our model makes use of graph convolutional network to utilize implicit topic information within a discussion thread to assist the evaluation of convincingness of each single comment.  ...  In this paper, we propose to incorporate latent topic aspects information to evaluate the convincingness of comments in online forum.  ... 
doi:10.18653/v1/w18-5212 dblp:conf/argmining/GuWXFLH18 fatcat:22jq5b6omjgvxa76zefc53uvua

Semi-supervised and Unsupervised Methods for Categorizing Posts in Web Discussion Forums [article]

Krish Perumal
2016 arXiv   pre-print
Web discussion forums are used by millions of people worldwide to share information belonging to a variety of domains such as automotive vehicles, pets, sports, etc.  ...  A few existing unsupervised and semi-supervised approaches are either focused on identifying a single category or do not report category-specific performance.  ...  Barzilay and Lee (2004) proposed a content model for multi-document summarization based on sentence extraction.  ... 
arXiv:1604.00119v3 fatcat:m2flg6lhc5elvorhl2h5xksmdi

Learning online discussion structures by conditional random fields

Hongning Wang, Chi Wang, ChengXiang Zhai, Jiawei Han
2011 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11  
Experiment results on three different online forums show that the proposed method can well capture the replying structures in online discussion threads, and multiple tasks such as forum search and question  ...  Unfortunately, not all the online forum sites would explicitly record such replying relationship, making it hard for both users and computers to digest the information buried in a discussion thread.  ...  In [11] , Lin et al. incorporate the temporal relationship into semantic modeling of threaded discussions based on the statistical topic model.  ... 
doi:10.1145/2009916.2009976 dblp:conf/sigir/WangWZH11 fatcat:gohupasha5dwnlvx4yiqnpf3ce

Community structure and interaction dynamics through the lens of quotes [article]

Mattia Samory, Enoch Peserico
2016 arXiv   pre-print
We examine four forums of different size, language, and topic.  ...  Quote usage, which is surprisingly consistent over time and users, appears to have an important role in aiding intra-thread navigation, and uncovers a hidden "social" structure in communities otherwise  ...  Here we summarize the problems encountered, and clarify our data cleaning process.  ... 
arXiv:1604.04570v1 fatcat:4p4cmj5xpfdofegidgamsikija


Hongji Bao, Edward Y. Chang
2010 Proceedings of the 19th international conference on World wide web - WWW '10  
Such a model matches ads with Web page content, user interests, or both. We have observed, however, on social networks that the relevance model suffers from two shortcomings.  ...  We performed experiments on a large online Q&A community with half a million users.  ...  ACKNOWLEDGMENTS The authors would like to thank Xiance Si, Brian Wong and Alice Li for their previous work, and Jun Yao for his help in conducting experiments on Google Confucius.  ... 
doi:10.1145/1772690.1772699 dblp:conf/www/BaoC10 fatcat:g3h6mi74cvatbdrzrahckozbka

Visual Text Analytics for Online Conversations

Enamul Hoque
2016 Companion Publication of the 21st International Conference on Intelligent User Interfaces - IUI '16 Companion  
coauthors: Chapter 2 is based on the article ConVis: A visual text analytic system for exploring blog conversations, by Enamul Hoque and Giuseppe  ...  The prototype was successfully evaluated through a large-scale user study. iv Preface Parts of this thesis are based on prior peer-reviewed publications by me (under the name Enamul Hoque) and with various  ...  More recently, the TIARA system proposes an enhanced Latent Dirichlet Allocation (LDA)-based topic modeling technique, which automatically derives a set of topics to summarize a collection of documents  ... 
doi:10.1145/2876456.2876461 dblp:conf/iui/Hoque16 fatcat:ob7o4r6v7nbx7mxeizkuovmuqa
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