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 development of the Internet, massive Internet text data has brought new opportunities and challenges to the research of entity relation extraction. Open entity relation extraction overcomes the shortage of traditional methods, that relation types need to be predefined and plenty of training data need to be labeled in advance. A lot of work have been done for English Open ERE, and now...
With the popularity of the Internet, online news media are pouring numerous of news reports into the Internet every day. People get lost in the information explosion. Although the existing methods are able to extract news reports according to key words, and aggregate news reports into stories or events, they just list the related reports or events in order. Moreover, they are unable to provide the...
Overlapping communities are pervasive in real-world networks. Therefore overlapping community detection is an important task for mining the structure and function of complex networks. Recently, many overlapping detection methods are proposed. Though achieving different goals, how to improve the performances of the community detection algorithms is still an open problem. In this paper, we propose a...
Community question answering(CQA) websites such as Quora and StackOverflow provide a new way of asking and answering questions which are not well served by general web search engines. With the huge volume and ever-increasing number of users and questions, effective strategies of ranking experts for different questions need to be proposed. In this paper, we first make some analysis on the network structure...
Much of the data of scientific interest, particularly when independence of data is not assumed, can be represented in the form of networks where data nodes are joined together to form edges corresponding to some kind of associations or relationships. Such information networks abound, like protein interactions in biology, web page hyperlink connections in information retrieval on the Web, cellphone...
With the rise of computational social science, analyzing sociological problems using computational methods has attracted widespread attention. In recent years, sentiment analysis has become a research hotspot in computational social science. But existing researches concentrate on modern text, such as product reviews and microblogging, and hardly involve the analysis of ancient literature. In this...
Since the birth of the concept of Content Based Image Retrieval, it has been a hot issue of computer vision and pattern recognition subject. In the information age, with the rapid growth of the data, how can we retrieval image quickly and accurately from the vast amounts of image data become a problem. This paper proposes a method of applying the Map/Reduce model in the Cloud Computing to Content...
Data analysis has been widely used in the enterprises for its high efficiency and accuracy, especially in the field of telecommunication industry, such as User Behavior Analysis, Customer Churn Prediction, etc. However, as the exponential growth of data, traditional data analysis tools can not handle such large-scale dataset. Furthermore, as business gets more and more complicated, there is much more...
The data set of scientific literature contains abundant knowledge. Currently, most bibliography search engines provide only keyword search or similarity search functions for retrieving information directly stored in the database but neglect mining hidden information. In this article, we design a visual analytic tool called LiterMiner to extract entities such as article, author, affiliation, and keyword...
Network value has attracted more and more attentions from scholars and enterprisers. Information through network can essentially impact everyone, while everyone in the network has the structure function to the network and may also influence others. But the contribution to the network is not the same for every one. Based on the complex network theory and customer activity, a customer network value...
Detecting the community of complex networks became the hot research fields of Graph Ming in recent years and most community detecting methods current try to find correct community structure basing on optimization of Modularity Q. In this article, the author constructs a new theoretic model of Q based on information entropy by simulation and evaluation on some classic dataset and comparison with the...
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.