基于角点检测和自适应阈值的新闻字幕检测

目前用于提取新闻视频帧中字幕的方法准确率和检测速度普遍较低,尤其对于分辨率和对比度较小的标题文字,检测效果很差。针对上述问题,提出一种基于角点检测和自适应阈值的字幕检测方法。该方法利用角点检测确定标题帧中的文字区域并进行灰度变换,利用自适应阈值的方法对其进行二值化,得到OCR可识别的文字图片。实验表明,该方法可以快速有效地提取出分辨率和对比度较小的新闻视频标题字幕。     

一种基于信息检索技术的网络新闻影响力分析方法

利用信息检索领域中的相关算法,分析研究通过信息检索相关技术得到的相关信息,建立了一个网络新闻影响力模型来定量地计算一则新闻的影响力,从而估计它对社会安全产生影响的程度.在对大量实验结果的统计分析中发现,此方法可以有效地对新闻文章进行排序,发现不同新闻类型中最值得关注的新闻,其结果与人的定性判断结果具有较高的一致性.     

基于梯度增强的新闻字幕分割算法

新闻字幕的分割在基于语义的新闻视频检索系统中具有重要的意义,为此提出一种基于梯度增强的新闻字幕分割箅法.该算法使用图像多方向梯度的加权和代替图像的标准方差,通过各方向权值的调节加强某些方向的边缘信息,以提高分割效果.与一些经典的自适应阈值分割算法相比,该算法不仅能够保留大部分笔画,也能有效地减少断笔问题.基于光学文字识别的实验结果证明了文中算法的有效性.     

搜索引擎优化策略在新闻网站中的应用

搜索引擎优化是近年来兴起并不断发展的技术。该文介绍了影响网站关键字排名的重要因素,并结合新闻网站的特点,有针对性的提出了相应优化策略和技巧。     

基于Agent的网络新闻信息管理系统功能分析

该文从网络新闻信息管理现状出发,结合Agent技术的特性,通过对基于Agent的信息管理系统设计理念的分析,总结并归纳了基于使用者角度的Agent网络新闻信息管理系统三大功能需求;随之,就系统的四个功能模块进行了详细阐述,最后进行系统的兼容性分析。     

Web news mining in an evolving framework

Online news has become one of the major channels for Internet users to get news. News websites are daily overwhelmed with plenty of news articles. Huge amounts of online news articles are generated and updated everyday, and the processing and analysis of this large corpus of data is an important challenge. This challenge needs to be tackled by using big data techniques which process large volume of data within limited run times. Also, since we are heading into a social-media data explosion, techniques such as text mining or social network analysis need to be seriously taken into consideration.In this work we focus on one of the most common daily activities: web news reading. News websites produce thousands of articles covering a wide spectrum of topics or categories which can be considered as a big data problem. In order to extract useful information, these news articles need to be processed by using big data techniques. In this context, we present an approach for classifying huge amounts of different news articles into various categories (topic areas) based on the text content of the articles. Since these categories are constantly updated with new articles, our approach is based on Evolving Fuzzy Systems (EFS). The EFS can update in real time the model that describes a category according to the changes in the content of the corresponding articles. The novelty of the proposed system relies in the treatment of the web news articles to be used by these systems and the implementation and adjustment of them for this task. Our proposal not only classifies news articles, but it also creates human interpretable models of the different categories. This approach has been successfully tested using real on-line news.     

基于内容分析的网络新闻中社会网络自动抽取

本文针对网络新闻报道,提出了一种基于文本内容分析的社会网络自动抽取方法。此方法在对输入文章进行分词标注、共指消解等预处理之后,通过名词合并及主动词识别,得到存在关系的命名实体之间的关系指向和关系描述,最后通过有向图把存在关系的命名实体进行连接,形成由命名实体、实体间关系指向、实体间关系描述构成的关系网络。试验结果表明该方法对新闻中的命名实体关系抽取比较有效。     

Geeking：基于胜者表的体育新闻搜索引擎系统

文章介绍了体育新闻搜索引擎系统 Geeking 的框架结构和各项功能,其结构分为网页爬取、胜者表构建、检索处理、用户界面 4 个部分,其主要功能包含查询词校正、自动补全、检索结果排序、相似新闻聚类以及显示页面中关键词高亮并提供网页快照。输入查询请求时,系统根据搜索日志和新闻热词自动补全查询词,搜索不到相关结果时校正查询,给出推荐的查询词。检索新闻文档时,使用胜者表快速查找查询词项的相关文档,综合 tf-idf 权重和新闻标题、发布时间等因素计算文档的相关性并按得分排序。在相似新闻聚类中,结合最长公共子序列和编辑距离衡量新闻标题之间的相似度,以新闻标题相似度代表新闻文档的相似度。测试结果表明,基于胜者表的 Geeking 搜索引擎系统各项功能协调效果好,检索响应速度快。     

Algorithmic trading system: design and applications

This paper provides an overview of research and development in algorithmic trading and discusses key issues involved in the current effort on its improvement, which would be of great value to traders and investors. Some current systems for algorithmic trading are introduced, together with some illustrations of their functionalities. We then present our platform named FiSim and discuss its overall design as well as some experimental results in user strategy comparisons.     

Stumbling upon news on the Internet: Effects of incidental news exposure and relative entertainment use on political engagement

Contemporary concerns that the Internet might lead to political apathy are based on suggestions that people would use the Internet for entertainment purposes rather than news consumption. However, what if someone stumbles upon news when surfing the Internet? Would this incidental news exposure online be helpful in promoting citizens’ political engagement? This study tests whether and how incidental news exposure (INE) and relative entertainment use (REU) on the Internet are associated with political participation. Drawing from US national data, results revealed a significant and positive relationship between INE and offline and online political participation while REU was negatively associated with offline and online political participation. More importantly, the role of INE in facilitating citizens’ online political participation was stronger for those who consume less entertainment online, indicating that incidental news exposure may increase existing gaps in political participation between people who prefer news and people who prefer entertainment online.