BBS论坛的设计与实现

本文以ASP技术为基础,设计与实现了一个BBS论坛。在论坛系统的实现过程中,通过引用网络数据库技术,丰富与美化了BBS论坛,同时使得网站更新速度加快,给师生的教与学带来很大的便利条件。     

简易论坛设计与实现

BBS论坛作为互联网+时代人们交流的主要在线平台,参与者可以在线发表和解决别人所提出的问题.开发了一个简单的BBS论坛系统,主要运用了ASP.NET技术、ADO.NET技术、SQL Server数据库等,并对上述技术的实现方法进行了详细的讨论,实现了一个简单的BBS论坛系统的设计与开发.     

BBS中主题发现原型系统的设计与实现

BBS论坛已经成为人们获取信息、发表言论的重要场所,它由论坛注册用户所发表的大量主题组成。论文针对传统的BBS论坛中有影响力主题计算方法的不足,通过计算词语在回帖传播链上的影响力,提出了一种根据对有影响力词语聚类的方法发现BBS论坛中具有影响力的主题。它能够使用户和论坛管理人员及时、准确和方便地提取重要的主题信息。     

BBS论坛在多媒体中的技术应用

通讯信息技术的不断创新发展,为社会经济发展带来了极大的促进作用。特别是近年来,BBS论坛技术在多媒体中的广泛应用,更加丰富了多媒体的功能展示,将多媒体功能发挥到最大的功效。该文首先介绍BBS论坛的定义及特点,并分析出BBS论坛在多媒体中的技术应用,最后提出BBS论坛技术应用的未来展望。     

一种对BBS语料进行话题提取的聚类算法

基于BBS语料的话题提取主要是从大量的BBS论坛讨论信息中,将正在或近期讨论的各种话题提取出来.在自主开发的一套话题提取系统中采用了一个原始聚类算法,能够对真实的BBS语料进行有效话题提取.随后将语料中的关联信息引入到原始聚类算法中进行改进,提高了算法的性能,取得了良好的效果.     

带地图的BBS

Go2map v3上还有一个很吸引人的栏目——天下论坛。 天下论坛是Go2map的BBS系统,它除了具有一般BBS系统的所有功能外,还有一个最大的特色,就是能在BBS上留言的同时留地图,这在全国可是独一无二的。网友相识,在地图上标明“我的家”;朋友聚会,附上约会地图;相约出游,提前为大家准备好一份要去之地的详细导游图,这些迷人的想法在Go2map的BBS上都能很容易地实现。你只要在Go2map的“我的天下”注册,就可以获得免费保存10幅专为自己定制的地图的权利。你尽可以在Go2map提供的各种地图中选择你感兴趣的一幅,并且按自己的     

BBS论坛系统

互联网上能够找到的BBS系统多如牛毛,有名气的就有PERL的UBB,PHP的VBB,考虑到国内网吧99%以上的服务器用的是WINNT/WIN2000,因此向各位强烈推荐ASP的BBS论坛系统SNITZ。     

上百万元 央视国际选用TRS系统

中央电视台网站“央视国际”经过严格的比较选择和公开招标,近日和易宝北信信息技术有限公司签署合同,选择易宝北信TRS企业级论坛系统(TRS BBS)作为央视国际在线主持栏目的论坛系统软件总投资额达上百万元。 据悉,TRS BBS作为TRS网站内容管理解决方案的重要组成部分,已     

基于内容分析的中文BBS话题检测系统的设计与实现

通过对BBS话题模型、话题相似度、话题检测评价标准以及话题趋势的分析和研究,提出了基于内容分析的中文BBS话题检测算法:通过爬虫获取BBS信息;采用基于URL和Xpath的网页模板处理BBS信息;应用ICTLAS实现BBS信息的分词;采用Carrot2对BBS话题进行聚类,基于功率谱的热点话题分析以及基于时间序列的话题预测.最后,通过采用J2EE开发包及Eclipse 集成开发环境,结合Hibernate、GWT等技术实现了中文BBS话题检测系统,并在多个BBS论坛上进行了测试,取得了良好的效果.     

J2EE架构与MVC模式下企业内部BBS系统的设计与实现

目前企业对人力资源管理信息化过程中论坛(BBS)没有进行充分利用,针对企业内部存在的"信息孤岛"和协同设计问题,为企业内部交流设计一个内部BBS系统,将使BBS成为员工创新思想的发源地,同时企业能及时得到客户的反馈,从而提高企业的整体水平和效益.该系统基于B/S模式应用J2EE标准,采用MVC模式,其表示层、业务逻辑层、数据持久层分别采用Struts、Spring、Hibernate框架实现,在MyEclips+Mysql开发平台下进行.     

基于PHP技术的网上论坛的设计

介绍了PHP技术的特点，论述了基于PHP技术的网上论坛的设计方法。该论坛后台数据库采用MySQL，整个论坛由用户管理、论坛管理和留言处理等部分组成。     

高校BBS舆情监测系统设计与实现

基于旁路模式实时分析还原出高校论坛的帖子内容作为论坛舆情监测的数据源,根据用户访问论坛的网络数据流分布符合幂率特征设计了一种高效的改进型LC（Lossy Counting）数据流频繁模式挖掘算法分析论坛的访问热点,采用增量层次聚类算法对还原出的主题内容进行聚类的舆情分析系统;同时提供管理模块可以限制敏感话题的访问范围。系统经过一段时间的运行,证明能够准确监视论坛的舆情动向。     

Assessing the effectiveness of a voluntary online discussion forum on improving students’ course performance

The purpose of this study was to evaluate the effectiveness of voluntary discussion forums in a higher education setting. Specifically, we examined intrinsic forum participation and investigated its relation to course performance across two experiments. In Experiment 1 (N = 1284) an online discussion forum was implemented at the beginning of an undergraduate introductory psychology course, and measures of course performance (i.e., writing assignment grades, exam grades, and extra-credits obtained) were compared with measures of forum participation. In Experiment 2 (N = 1334) an online discussion forum was implemented halfway through a second undergraduate introductory psychology course, after an initial measure of course performance was obtained, to control for the potential confound of student engagement (e.g., students who perform better in the course use the forum more). Overall, the results showed that students who participated in the forum tended to have better performance in the course, and furthermore that participating in the discussion forum, particularly reading posts on the forum, slightly improved exam performance. This study provides empirical support for the theoretical proposition that there is a facilitation effect of discussion forum participation on course performance. The results also suggest that implementation of an online discussion forum is beneficial even if a teacher only invests minimal time on the forum.     

The affordance of anchored discussion for the collaborative processing of academic texts

A system for “anchored discussion” is compared with a system for traditional forum discussion (Blackboard), and their collaborative and communicative affordances for the collaborative processing of academic texts are investigated. Results show that discussion in the system for anchored discussion is more directed at processing the meaning of texts than discussion in the traditional forum, which is more oriented towards the sharing of personal opinions and experiences. This difference in orientation produces a more constructive collaboration in the system for anchored discussion, versus a more debate-like collaboration in the forum discussion. Additionally, while messages in the traditional forum resemble usual discussion or email conversation and contain social and regulative comments, discussion in the system for anchored discussion is seen to be more efficient and “to-the-point.” We conclude that for collaborative text comprehension by undergraduate students, anchored discussion might be more suitable than traditional forum discussion. Finally, the observed differences can be explained by the stronger defined collaborative context in the system for anchored discussion, which focuses participants’ collaborative intentions and their frames of reference.     

用ASP实现Windows98／NT平台上的网上论坛

文章介绍了采用ASP（动态服务器页面）建立一个网上论坛的细节，包括开发工具、论坛功能和一些独特的技巧。     

一个由多项自由软件构成的动态网站的设计与实现

本文基于Turbo Limux为操作平台，采用Apache为Web服务器，MySQL为后台数据库，PHP为编程语言，分析了数据库的身份认证、存储控制、审计追踪与攻击检测；确保了全局数据的一致性、完整性、安全性，研究并实现了计算机安全技术论坛。该论坛经过一年多的使用，安全、稳定、可靠。     

论坛情感挖掘研究综述：现状、挑战与趋势

大数据时代,论坛上用户的看法、倾向、观点和争论形成了大量数据。对这些能表达作者情绪的数据进行挖掘,有助于相关人员对信息的理解、把控,亦会对决策形成直接影响。为此,关注论坛情感挖掘十分重要。从论坛数据挖掘相关技术的概念和意义出发,重点讨论了论坛情感挖掘中基于情感词典和基于机器学习两种方法的研究现状,对每种方法的适用任务、不足之处、改进方案、发展趋势等进行对比和阐述。给出论坛情感挖掘领域尚待解决的难题与挑战,并对该技术未来的发展方向做出预测。     

Discovering genres of online discussion threads via text mining

As course management systems (CMS) gain popularity in facilitating teaching. A forum is a key component to facilitate the interactions among students and teachers. Content analysis is the most popular way to study a discussion forum. But content analysis is a human labor intensity process; for example, the coding process relies heavily on manual interpretation; and it is time and energy consuming. In an asynchronous virtual learning environment, an instructor needs to keep monitoring the discussion forum from time to time in order to maintain the quality of a discussion forum. However, it is time consuming and difficult for instructors to fulfill this need especially for K12 teachers. This research proposes a genre classification system, called GCS, to facilitate the automatic coding process. We treat the coding process as a document classification task via modern data mining techniques. The genre of a posting can be perceived as an announcement, a question, clarification, interpretation, conflict, assertion, etc. This research examines the coding coherence between GCS and experts’ judgment in terms of recall and precision, and discusses how we adjust the parameters of the GCS to improve the coherence. Based on the empirical results, GCS adopts the cascade classification model to achieve the automatic coding process. The empirical evaluation of the classified genres from a repository of postings in an online course on earth science in a senior high school shows that GCS can effectively facilitate the coding process, and the proposed cascade model can deal with the imbalanced distribution nature of discussion postings. These results imply that GCS based on the cascade model can perform as an automatic posting coding system.     

Anonymity and roles associated with aggressive posts in an online forum

Cyberbullying is a growing concern in online communications. Cyberbullying has negative impacts such as distress or suicide of a victim. One common type of cyberbullying attack utilizes aggressive forum posts to insult or threaten a victim. Automated tools to classify cyberbullying may aid in avoiding or reducing the negative impacts of cyberbullying. One approach to produce an automated tool is to identify features of forum posts which may be indicators of cyberbullying. One feature of a forum post is the role of the author of the forum post, such as a bully, victim, or defender. Another feature is whether the forum post insults or threatens an individual (e.g., contains insults directed at a victim). Attackers may use aggressive forum posts to attack someone and defenders may use aggressive forum posts to retaliate against attackers. Another feature is whether the communication is anonymous (e.g., sending forum posts with no identifier) since cyberbullies utilize anonymity to reduce the ability of the victim to defend themselves and to shield the cyberbully from social consequences. In this paper, forum posts were labeled in an online forum for these features. Text matching techniques had some success in identifying aggressiveness forum posts including both attacks and defends. Anonymity of forum posts (i.e., forum posts with no identifier) was identified as a criterion to distinguish attackers (more anonymous relative to non-aggressive communications) from defenders (less anonymous relative to non-aggressive communications).