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Improving the classification of newsgroup messages through social network analysis

Blaz Fortuna, Eduarda Mendes Rodrigues, Natasa Milic-Frayling
2007 Proceedings of the sixteenth ACM conference on Conference on information and knowledge management - CIKM '07  
We show that the use of newly defined features substantially improves classification of messages in comparison with the SVM model based only on the standard reply-to network.  ...  Newsgroup participants interact with their communities through conversation threads.  ...  Motivated by the observations of this study we consider multiple representations of the social network for message classification, including the reply-to network.  ... 
doi:10.1145/1321440.1321565 dblp:conf/cikm/FortunaRM07 fatcat:shf6swlp5fgcdn2towo7spt7yq

Microblogging Comments Classification

Swapnil Babaji, Mohammad Muzammil, Sudeep Thepade
2017 International Journal of Computer Applications  
The System needs to classify these comments into various classes which can be used to find the interest of users.  ...  These interests of users will be used for giving them personalized news and also for decision making in business. Twitter tweets having a limit of 140 characters.  ...  Now tweets analysis can be used to improve security in defense of the country. In a business, the system can detect the polarity of any launch by analyzing tweets of people.  ... 
doi:10.5120/ijca2017914177 fatcat:ns2mujtkpjfm5gr6v7xxcppe2u

Chapter 18. Stories and social networks [chapter]

Warren Sack
2003 Advances in Consciousness Research  
A computational, social network-based approach to story understanding is proposed and implemented in the Conversation Map system.  ...  Analyses of audiences' online discussions following the airing of two episodes of a wellknown television show are presented.  ...  Outside of AI, in the field of sociology, social network-based approaches to story understanding are not unusual, but the techniques of sociology can be improved through the use and development of an array  ... 
doi:10.1075/aicr.46.22sac fatcat:rrceqel2yrf4je4qqi6s6tytwe

A Conceptual and Operational Definition of 'Social Role' in Online Community

Eric Gleave, Howard T. Welser, Thomas M. Lento, Marc A. Smith
2009 2009 42nd Hawaii International Conference on System Sciences  
This paper standardizes the usage of the term 'social role' in online community as a combination of social psychological, social structural, and behavioral attributes.  ...  We conclude with directions for future research, with a particular focus on the analysis of communities as role ecologies.  ...  This coding was then correlated with a content analysis of the author's messages to test the structural signature's relationship to answering behavior across several newsgroups and multiple authors.  ... 
doi:10.1109/hicss.2009.6 dblp:conf/hicss/GleaveWLS09 fatcat:r3ejxbi2nrb6fjsxmbfa57lq4e

Using frequency-of-mention in public conversations for social filtering

Will Hill, Loren Terveen
1996 Proceedings of the 1996 ACM conference on Computer supported cooperative work - CSCW '96  
We report on an investigation of using Usenet newsgroups for social filtering of Web resources.  ...  Our main empirical results are: (1) for the period of May '96 to Jul '96, about 23% of Usenet news messages mention Web resources, (2) 19% of resource mentions are recommendations (as opposed, e.g., to  ...  System support from Shankar Ishwar helped to get the PHOAKS web site going. Josh Creter helped with data preparation and analysis.  ... 
doi:10.1145/240080.240229 dblp:conf/cscw/HillT96 fatcat:n5loahibizbnbc7s7oc4mey6rq

An efficient technique for hybrid classification and feature extraction using normalization

Bipanjyot Kaur, Gourav Bathla
2018 International Journal of Engineering & Technology  
The proposed system is deployed on 20-Newsgroup dataset. Experiment analysis proves that accuracy is improved using our proposed approach as compared to existing approaches.  ...  Text classification is used in many applications like assigning the label to the documents, separating the spam messages from the genuine one, filtering of text, natural language processing etc.  ...  Introduction There is vast amount of data generated in business organizations and social networks. Data is of heterogeneous variety and belongs to different classes.  ... 
doi:10.14419/ijet.v7i2.27.14534 fatcat:27br6a6tbfhj3eswoxtyumeplq

Talk to me

Jaime Arguello, Brian S. Butler, Lisa Joyce, Robert Kraut, Kimberly S. Ling, Xiaoqing Wang
2006 Proceedings of the SIGCHI conference on Human Factors in computing systems - CHI '06  
In a longitudinal sample of 6,172 messages from 8 Usenet newsgroups, 27% of posts received no response.  ...  Posting on-topic, introducing oneself via autobiographical testimonials, asking questions, using less complex language and other features of the messages, increased replies.  ...  Smith at Microsoft Research and David Jeske at Google for providing data; and Carolyn Rose and Cameron Williams at Carnegie Mellon University for advice with text and content analysis.  ... 
doi:10.1145/1124772.1124916 dblp:conf/chi/ArguelloBJKLRW06 fatcat:2qoxu42pwbcwjbvqxuzk4lyfzy

Information Overload and the Message Dynamics of Online Interaction Spaces: A Theoretical Model and Empirical Exploration

Quentin Jones, Gilad Ravid, Sheizaf Rafaeli
2004 Information systems research  
Empirical research was undertaken to assess the validity of both the method and the model, based on the analysis of over 2.65 million postings to 600 Usenet newsgroups over a 6-month period.  ...  O nline spaces that enable shared public interpersonal communications are of significant social, organizational, and economic importance.  ...  Analysis of the systemic nature of social relations can be achieved through a focus on feedback loops (Forrester 1969 ).  ... 
doi:10.1287/isre.1040.0023 fatcat:vzw6fqc4b5aqjizrkqzlcrqahq

Detection of Spam Messages in Social Networks based on SVM

Sumaiya Pathan, R. H.
2016 International Journal of Computer Applications  
Social networks are platforms through which people communicate and share information.  ...  This paper also evaluates the classification efficiency of Non Linear SVM using RBS (Radial Basis Function) Kernel.  ...  INTRODUCTION Social networks provide efficient channel for the growth of spam. Spam is unsolicited posting in social networks.  ... 
doi:10.5120/ijca2016910793 fatcat:tfgbfs5ftbfvjihjuguiyxwdvu

Performance Evaluation of Email Spam Text Classification Using Deep Neural Networks

Venkata RamiReddy Chirra, Hoolda Daniel Maddiboyina, Yakobu Dasari, Ranganadhareddy Aluru
2020 Review of Computer Engineer Studies  
the occurrence of the word.  ...  These techniques don't improve their performance while handling huge data and they need a lot of domain expertise, human intervention and they neglect the relation between the words in context and consider  ...  RESULT AND ANALYSIS Datasets description The 20 newsgroup is multi classified dataset and it reports 20,000 news group documents, divided into 20 different newsgroups.  ... 
doi:10.18280/rces.070403 fatcat:sp6l3qzhfvb4dbwim4l7zcvlna

Users roles identification on online crowdsourced Q&A platforms and encyclopedias: a survey

Akrati Saxena, Harita Reddy
2021 Journal of Computational Social Science  
We discuss the state of the art on capturing the variety of users roles through different methods including the construction of user network, analysis of content posted by users, temporal analysis of user  ...  In this work, we present a survey of users' social roles that have been identified on online discussion and Q&A platforms including Usenet newsgroups, Reddit, Stack Exchange, and MOOC forums, as well as  ...  Social networks constructed based on the replies by the users to others' messages can be used to visualize user roles in the Usenet newsgroups [90] . The analysis of Turner et al.  ... 
doi:10.1007/s42001-021-00125-9 fatcat:rmu7xhvzhfc67l47dsimjbogz4

Multiparticipant chat analysis: A survey

David C. Uthus, David W. Aha
2013 Artificial Intelligence  
We survey research on the analysis of multiparticipant chat. Multiple research and applied communities (e.g., AI, educational, law enforcement, military) have interest in this topic.  ...  the data needed, and completing and reviewing the collection of information.  ...  The views and opinions contained in this paper are those of the authors and should not be interpreted as representing the official views or policies, either expressed or implied, of NRL or the DoD.  ... 
doi:10.1016/j.artint.2013.02.004 fatcat:lie3tzwvdnezjpcpny4xd52jrm

MULTI-STRATEGY SENTIMENT ANALYSIS OF CONSUMER REVIEWS WITH PARTIAL PHRASE MATCHING

M.Phil R.Navin Kumar M.C.A., S.Sneha
2022 Zenodo  
Naïve Bayes classification is also applied to find the probability of data distribution in various category of data set. The project is designed using R Studio 1.0.  ...  Sentiment analysis is useful in commercial intelligence application environment and recommender systems, because it is a very convenient channel for the two ends of the supply to communicate.  ...  messages, without taking advantage of the fact that the microblogs are networked data.  ... 
doi:10.5281/zenodo.6410034 fatcat:bwt7hjsbkzcvjn3egegmytc4hi

COVID-19 Tweets Textual Analytics Using Machine Learning Classification for Fear Sentiment

2020 International Journal of Advanced Trends in Computer Science and Engineering  
The volume of COVID 19 microblogging messages is increasing exponentially with the popularity of COVID 19 microblogging services.  ...  With the huge number of messages seem in user interfaces, it obstruct user accessibility to useful information hide in disorganized, incomplete and unstructured text message.  ...  A meta-analysis found that targeting fears can be useful in some. Social networks can amplify the spread of behaviors that are both.  ... 
doi:10.30534/ijatcse/2020/221952020 fatcat:tvlslsmkubfsnnbov7ox3pmma4

Machine Learning: A Review on Binary Classification

Roshan Kumari, Saurabh Kr.
2017 International Journal of Computer Applications  
In the field of information extraction and retrieval, binary classification is the process of classifying given document/account on the basis of predefined classes.  ...  Text categorization is also performed with binary classification. This research synthesizes binary classification in which various approaches for binary classification are discussed.  ...  [6] has contributed their work for detection of identity deception on social networking sites. On social networking sites, one person creates multiple account for malicious use.  ... 
doi:10.5120/ijca2017913083 fatcat:h4iwibashzhuzazhilnmc3xloi
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