Deep Analytics in Sport Community Forums

2021 ◽  
pp. 352-372
Author(s):  
Dušan Fister ◽  
Iztok Fister ◽  
Iztok Fister Jr.
Keyword(s):  
Internal Structure ◽  
Online Discussions ◽  
Critical Information ◽  
Doing Business ◽  
Web Forum ◽  
Web Forums ◽  
Sport Clubs

In recent years, some sport clubs have adopted web forums for online discussions about planning training sessions, races, club problems, sponsors and supporters, equipment and so on. Mostly, these forums are closed, because some discussions about critical information must be permitted only to registered club members. Indeed, various members are connected into a network representing a forum community that participates in forming the internal structure of a club and has taken an increasingly important role in solving the club affairs. This has influenced the classic way of doing business with meetings or calls and has allowed the community to participate in forming plans. This article deals with the deep analytics of data acquired from a web forum of a small cycling club located in Slovenia for a period of five years. The purpose of these analyses is to identify various members of the forum's community, track the dynamics of events as found in this forum, and search for hidden relationships.

Deep Analytics in Sport Community Forums

2018 ◽  
Vol 10 (2) ◽  
pp. 18-37
Author(s):  
Dušan Fister ◽  
Iztok Fister ◽  
Iztok Fister Jr.
Keyword(s):  
Internal Structure ◽  
Online Discussions ◽  
Critical Information ◽  
Doing Business ◽  
Web Forum ◽  
Web Forums ◽  
Sport Clubs

In recent years, some sport clubs have adopted web forums for online discussions about planning training sessions, races, club problems, sponsors and supporters, equipment and so on. Mostly, these forums are closed, because some discussions about critical information must be permitted only to registered club members. Indeed, various members are connected into a network representing a forum community that participates in forming the internal structure of a club and has taken an increasingly important role in solving the club affairs. This has influenced the classic way of doing business with meetings or calls and has allowed the community to participate in forming plans. This article deals with the deep analytics of data acquired from a web forum of a small cycling club located in Slovenia for a period of five years. The purpose of these analyses is to identify various members of the forum's community, track the dynamics of events as found in this forum, and search for hidden relationships.

Classroom Critical Incidents

2011 ◽  
pp. 275-281
Author(s):  
John M. Carroll ◽  
Dennis C. Neale ◽  
Philip L. Isenhour
Keyword(s):  
Critical Incident ◽  
Critical Incidents ◽  
Evaluation Method ◽  
User Interaction ◽  
Common Source ◽  
Incident Report ◽  
Web Forum ◽  
Web Forums ◽  
Human Participants

Evaluating the quality and effectiveness of user interaction in networked collaborative systems is difficult. There is more than one user, and often the users are not physically proximal. The “session” to be evaluated cannot be comprehensively observed or monitored at any single display, keyboard, or processor. It is typical that none of the human participants has an overall view of the interaction (a common source of problems for such interactions). The users are not easily accessible either to evaluators or to one another. In this article we describe an evaluation method that recruits the already-pervasive medium of Web forums to support collection and discussion of user critical incidents. We describe a Web forum tool created to support this discussion, the Collaborative Critical Incident Tool (CCIT). The notion of “critical incident” is adapted from Flanagan (1956), who debriefed test pilots in order to gather and analyze episodes in which something went surprisingly good or bad. Flanagan’s method has become a mainstay of human factors evaluation (Meister, 1985). In our method, users can post a critical incident report to the forum at any time. Subsequently, other users, as well as evaluators and system developers, can post threaded replies. This improves the critical incident method by permitting follow-up questions and other conversational elaboration and refinement of original reports.

scholarly journals Content Noise Detection Model Using Deep Learning in Web Forums

2020 ◽  
Vol 12 (12) ◽  
pp. 5074
Author(s):  
Jiyoung Woo ◽  
Jaeseok Yun
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Learning Model ◽  
Detection Model ◽  
Proposed Model ◽  
Web Forum ◽  
Web Forums ◽  
Conventional Machine ◽  
Text Features ◽  
Deep Learning Model

Spam posts in web forum discussions cause user inconvenience and lower the value of the web forum as an open source of user opinion. In this regard, as the importance of a web post is evaluated in terms of the number of involved authors, noise distorts the analysis results by adding unnecessary data to the opinion analysis. Here, in this work, an automatic detection model for spam posts in web forums using both conventional machine learning and deep learning is proposed. To automatically differentiate between normal posts and spam, evaluators were asked to recognize spam posts in advance. To construct the machine learning-based model, text features from posted content using text mining techniques from the perspective of linguistics were extracted, and supervised learning was performed to distinguish content noise from normal posts. For the deep learning model, raw text including and excluding special characters was utilized. A comparison analysis on deep neural networks using the two different recurrent neural network (RNN) models of the simple RNN and long short-term memory (LSTM) network was also performed. Furthermore, the proposed model was applied to two web forums. The experimental results indicate that the deep learning model affords significant improvements over the accuracy of conventional machine learning associated with text features. The accuracy of the proposed model using LSTM reaches 98.56%, and the precision and recall of the noise class reach 99% and 99.53%, respectively.

scholarly journals SOFTWARE FOR DETERMINATION OF BEHAVIOR PATTERNS OF WEBFORUM MEMBERS

2014 ◽  
pp. 119-125
Author(s):  
Yuriy Syerov ◽  
Ruslan Kravets
Keyword(s):  
Information System ◽  
System Development ◽  
Behavior Patterns ◽  
Community Members ◽  
Information System Development ◽  
Actual Problem ◽  
Web Community ◽  
Web Forum ◽  
Web Forums

Article considers actual problem of Web-forums’ members’ behavior and classifying information system development. In the article existing Web-forum CMS’ were analyzed, process of Web-community members’ behavior analyzing was researched and overviewed, the process of information system developing was described.

scholarly journals LINGUISTIC ANALYSIS OF USER MOTIVATIONS OF INFORMATION CONTENT FOR UNIVERSITY ENTRANT’S WEB-FORUM

2019 ◽  
pp. 67-74 ◽  
Author(s):  
Pavlo Zhezhnych ◽  
Anna Shilinh ◽  
Viktor Melnyk
Keyword(s):  
Information Content ◽  
Linguistic Analysis ◽  
Educational Institutions ◽  
Thematic Section ◽  
Present Information ◽  
Web Forum ◽  
Information And Communication ◽  
Web Forums ◽  
Communication Needs ◽  
Key Phrases

Educational web-forums are an effective source of meeting the information and communication needs of the participants in educational activities. Information content of the educational web-forum for entrants is a reflection of the motivational intentions of communication participants who publish posts in the web-community. The subjects of the posts or the choice of the thematic section characterize the motivational intentions of both sides of the communicative activity. It should be borne in mind that motivational intentions are based not only on the technical, but also on the psychological aspects of the author's activities. So, an important task is to carry out a computer-linguistic analysis of the peculiarities of the formation of the information content of an educational web-forum for entrants created by motivated users. This article discusses the linguistic analysis of individual postings that form the content of a web-forum with template key phrases. Participant communications are divided into parts that present information about certain motivational intentions of the participants in the entry campaign. Linguistic analysis of motivational intentions of higher educational institutions and potential entrants is also contained in the article.

scholarly journals Speech Acts and Discourse Pattern in Information Sharing Practice in Malaysian Web-Forums

2019 ◽  
Author(s):  
Shanthi A. ◽  
Thayalan X ◽  
Suppiah P
Keyword(s):  
Information Sharing ◽  
Speech Acts ◽  
Phase 1 ◽  
General Information ◽  
Online Information ◽  
Computer Mediated ◽  
New Information ◽  
Mediated Discourse ◽  
Web Forum ◽  
Web Forums

Web-forum discussions are widely used in business, health and education and in general discussion virtually. This practice of sharing information via Internet is also known as Computer Mediated Discourse (CMD). By focusing on language used in web-forums, this study explores the practice of collaborative information sharing in Malaysian web-forums discourse by using Speech Acts Theory. The study found that forum-members used different speech acts to share information in an interactive manner. However, speech acts such as to explain, to suggest and to question were used more extensively than other types of speech acts. The study also found that speech acts to denote politeness such as to apologise, to greet were used in the web-forum interaction to sustain collaboration and camaraderie in online information sharing practices. The discourse pattern reveals that web-forum members interacted at two phrases; Phase 1 to seek general information about the topic of discussion, and Phase II to have a deeper discussion where new information is added to the topic of discussion that leads to new knowledge being created. The findings of the study can benefit our understandings on how best to conduct online interaction, be it in the business, health or academic sectors.

scholarly journals Using Web Forums for Qualitative Inquiries: Empirical Findings on the Conditions and Techniques for Asynchronous Online Group Discussions

2019 ◽  
Author(s):  
Daniela Schiek ◽  
Carsten Ullrich
Keyword(s):  
Qualitative Research ◽  
Empirical Study ◽  
Focus Groups ◽  
Group Discussions ◽  
Active Reading ◽  
Web Forum ◽  
Web Forums ◽  
Autonomous Development ◽  
Positive Results ◽  
Online Group

This paper presents findings from an experimental empirical study about web forum discussions as instruments for qualitative research inquiries. It focuses on written, asynchronous group discussions between absent communication partners and deals with autonomous group discussions instead of strongly structured focus groups. The autonomous development of subtopics by the group using written communication between absent partners is a particular challenge for both the researcher and the debaters. Under which conditions and using which techniques do qualitative group discussions using a web forum work successfully? Three aspects of running such discussions can be clarified: a surprisingly modest group size, a duration of two or three months and thematically reserved moderation but very “active reading” by the researcher produce positive results. Further research should study the function of multithreading, which was observed being used by the debaters.

Forums-Oriented Research on the Spreading and Inhibition of Rumors

2016 ◽  
Vol 27 (07) ◽  
pp. 845-862
Author(s):  
Hui-Jie Xu ◽  
Wan-Dong Cai ◽  
Gui-Rong Chen
Keyword(s):  
Critical Threshold ◽  
Trust Mechanism ◽  
Rumor Spreading ◽  
Spreading Model ◽  
User Behaviors ◽  
Trust Relationships ◽  
Web Forum ◽  
Web Forums ◽  
The Web ◽  
High Influence

A rumor spreading model for the web forums based on the heterogeneity of the web forum user behaviors and SEIR model is proposed in this paper. First, according to the meanfield equations of the model on inhomogeneous networks, the critical threshold of the spreading of rumor is deduced; Then the simulation and numerical analysis of the model itself and the influences of trust mechanism to the model are given, which verify the validity of the model and the introduction of trust mechanism can effectively reduce the rumor influence, the velocity of rumor spreading and the rumor size; Finally, combined with the previous conclusions and the high-influence limited trust relationships between the web forum users, a high-influence immunization algorithm is given. The experimental results show that the algorithm able to reach better effect than traditional immunization algorithm.

X-ray microtomography

1988 ◽  
Vol 46 ◽  
pp. 998-999
Author(s):  
H.W. Deckman ◽  
B.F. Flannery ◽  
J.H. Dunsmuir ◽  
K.D' Amico
Keyword(s):  
Computed Tomography ◽  
Internal Structure ◽  
Imaging Technique ◽  
Three Dimensional ◽  
Tissue Structure ◽  
Individual Element ◽  
X Ray ◽  
Non Invasive ◽  
Panoramic Imaging ◽  
Three Dimensional Images

We have developed a new X-ray microscope which produces complete three dimensional images of samples. The microscope operates by performing X-ray tomography with unprecedented resolution. Tomography is a non-invasive imaging technique that creates maps of the internal structure of samples from measurement of the attenuation of penetrating radiation. As conventionally practiced in medical Computed Tomography (CT), radiologists produce maps of bone and tissue structure in several planar sections that reveal features with 1mm resolution and 1% contrast. Microtomography extends the capability of CT in several ways. First, the resolution which approaches one micron, is one thousand times higher than that of the medical CT. Second, our approach acquires and analyses the data in a panoramic imaging format that directly produces three-dimensional maps in a series of contiguous stacked planes. Typical maps available today consist of three hundred planar sections each containing 512x512 pixels. Finally, and perhaps of most import scientifically, microtomography using a synchrotron X-ray source, allows us to generate maps of individual element.

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