The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
With the rapid growth of social media and online news services, users nowadays can respond to online news by rating subjective emotions such as happiness, surprise or anger actively. Once the user ratings is over a certain range, it begins to show up a tendency of what most people think and feel, which can help us understand the preferences and perspectives of most users, and help news providers to...
In this paper we analyze the performance of several methods for classification applied to the Romanian blogosphere. Blogs are difficult to categorize by humans and machines alike, because they are written in a changeable style. In the early days of web, directories maintained by humans could not keep up millions the websites; likewise, blog directories cannot keep up with the explosive growth of the...
Many people who discuss sensitive or private issues on web forums and other social media services are using pseudonyms or aliases in order to not reveal their true identity, while using their usual accounts when posting messages on nonsensitive issues. Previous research has shown that if those individuals post large amounts of messages, stylometric techniques can be used to identify the author based...
We examined 200 salespeople's blogs using netnography method. Drawing on social learning theory and real salespeople's blogs, we illustrate how and why sales people can learn by using blogging, both reading and writing. For example, blogging, writing and reading blogs, can keep salespeople networked with their peers within and across industries and help salespeople learn a greater variety of things...
We introduce a method for learning to predict reader interest. In our approach, interest analysis bases on PageRank and social interaction content (e.g., reader feedback in social media). The method involves automatically estimating topical interest preferences and determining the sentiment for social content. In interest prediction, different content sources of articles and reader feedback representing...
This paper studies the problem of user modeling in online forums from a personality viewpoint. A novel hierarchical user profiling mechanism is proposed, which utilizes the user-generated content, the reply relations among users and the topics of the discussions. The hierarchical model represent the users' interests across different topics. The obtained user profiles are applied to three forum-related...
Through a new training mode, and given full play to the advantages of modern distance education under the guideline of communication theories, online learning system and Moodle platform have been constituted on the basis of the network platform and multimedia resources. Thus, rural minority teachers' educational technical skills will be efficiently trained with the help of computer-aided education...
Inferring the sentiment of social media content, for instance blog posts and forum threads, is both of great interest to security analysts and technically challenging to accomplish. This paper presents a new method for estimating social media sentiment which addresses the challenges associated with Web-based analysis. The approach formulates the task as one of learning-based text classification, models...
Recently, a huge wave of social media has generated significant impact in people's perceptions about technological domains. They are captured in several blogs/forums, where the themes relate to products of several companies. One of the companies can be interested to track them as resources for customer perceptions and detect user sentiments. The keyword-based approaches for identifying such themes...
As part of the NSF-funded Dark Web research project, this paper presents an exploratory study of cyber extremism on the Web 2.0 media: blogs, YouTube, and Second Life. We examine international Jihadist extremist groups that use each of these media. We observe that these new, interactive, multimedia-rich forms of communication provide effective means for extremists to promote their ideas, share resources,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.