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.
This paper describes a mechanism of defining keywords on our Information Utilization System, which we have proposed to utilize information received via e-mail. Our system utilizes metadata of e-mail messages to organize pieces of information, and keywords are used to classify pieces of information based on their
This paper presents a keyword extraction technique that can be used for tracking topics over time. In our work, keywords are a set of significant words in an article that gives high-level description of its contents to readers. Identifying keywords from a large amount of on-line news data is very useful in that it can
of that unrest on Phuket's tourism environment. It is proposed that this analysis can provide measurable insights through summarization, keyword analysis and clustering. We measure sentiment using a binary choice keyword algorithm. A multi-knowledge based approach is proposed using, Self-Organizing Maps along with
Keyword-based search techniques are currently used to identify assets packaged for reuse. Unfortunately, these techniques are not suitable for searching large asset repositories, as they are known of having low precision and recall. One way to improve the search accuracy, is to identify reusable assets using their
The proliferation of Web services demands for a discovery mechanism to find advertisements that satisfy the requests more accurately. OWL-S provides a capability-based description and logic inference mechanism for semantically matching. UDDI provides a registry of businesses and Web services, but its keyword search
quotation), payment system, guest's propaganda participation, keyword search-tendering and concentration degree in order form,so this article proposes the fuzzy rejection analysis method,which study the different manufacturer, the different transportation , the different marketing channel for multi-objective decision making
Complex ad hoc join queries over enterprise databases are commonly used by business data analysts to understand and analyze a variety of enterprise-wide processes. However, effectively formulating such queries is a challenging task for human users, especially over databases that have large, heterogeneous schemas. In this paper, we propose a novel approach to automatically create join query recommendations...
Traditional SMS filters are basically text-based filtering. However, the filtering mechanisms have limitations: first, the keyword can easily be replaced by other symbols, which increase the difficulty of filtering; second, is garbage in the ongoing renovation of keywords, filtering mechanism of the high demands of
With the increase in the number of user reviews on user review sites, useful tools for extracting good and bad points of services so that users can easily and intuitively understand the quality of the services are required. If the annotations are selected from the pre-defined list, there can always be missing keywords
present the experiment design to capture and extract the viewing patterns in Twitter using the eye-tracking technology. We show a set of experiment results based on the analysis of eye gazing data, in order to demonstrate how the subjects look for specified keywords in the Twitter timeline, which can further contribute to
A user's location information is commonly used in diverse mobile services, yet providing the actual name or semantic meaning of a place is challenging. Previous works required manual user interventions for place naming, such as searching by additional keywords and/or selecting place in a list. We believe that applying
This paper reports on the work on a new service using text mining on SMS data: SMSTrends. The service extracts trends in the form of keywords from SMS messages sent and received by ad hoc location-based communities of users. Trends are then presented to the user using a phone widget, which is regularly updated to show
the industry. Much of what is available tells that information such as cookies and browsing history are used to target customers, associating keywords with specific groups of inventory. We designed and conducted a web-based shopping experiment with fifty participants to observe how people of different backgrounds and
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.