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based spam topic detection strategy through keyword extraction. In particular, spam topic is detected by using the topic model of multiple features with the keywords of clues, which integrate the corresponding feature of News, BBS and Blog. We get the min cost of 0.282 through TDT4 evaluating corpus and the satisfaction of
retrieval scheme based on annotation keywords and visual content, which can benefit from the strength of text- and content-based retrieval. The system starts query triggered by some keywords, and further refines the retrieval result based on blobs and regions information. The first step is to complete semantic filtering with
This paper proposes a mutual detection mechanism between spam blogs and keywords for filtering spam blogs from updated blog data. Spam blogs are problematic in extracting useful marketing information from the blogosphere; they often appear to be rich sources of information based on individual opinion and social
Security content filtering of World Wide Web is one of the important tasks among network security. The lower precision of Web mining based on keywords is a common fault, especially when those grouchy persons used active disturbing methods to cheat and bypass various filters. To filter these few but purposively or
images with their surrounding text are collected from a few photo forums to support this approach. The entire process is formulated in a divide-and-conquer framework where a query keyword is provided along with the uncaptioned image to improve both the effectiveness and efficiency. This is helpful when the collected data
utilizes text-mining, Web service technologies and domain knowledge, in order to extract keywords, to retrieve related records from an external source, and to filter the extracted keywords list. This study meets a practical challenge encountered at the School of Veterinary and Biomedical Sciences at Murdoch University. The
With the development of internet, web information increases fast, how to filter information which users wanted quickly and accurately is becoming a big problem. But the traditional keyword based search system's recall rate and precision are yet to be improved. Kam-so, the user interesting collaborative filtering model
With the rapid development of World Wide Web, the Web malicious attackers have taken the initiative jamming in Chinese to transform the form of the key words to be avoided being mined by the software existed. So how to filter the unhealthy Web page quickly and effectively has become the main content of the Web security. Because of the limitation of traditional rigid strings matching on the key words...
News Topics are related to a set of keywords or keyphrases. Topic keyphrases briefly describe the key content of topics and help users decide whether to do further reading about them. Moreover, keyphrases of a news topic can be considered as a cluster of related terms, which provides term relationship information that
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
Many e-commerce web sites such as online book retailers or specialized information hubs such as online movie databases make use of recommendation systems where users are directed to items of interests based on past user interactions. While keyword based approaches are naive and do not take content or context into
important to provide users with valuable information about goods of any category. The objective of this research is to improve the usefulness of reviews for consumers. This research focuses on an opinion dictionary as a collection of specific keywords and key phrases. This opinion dictionary models a standardized better review
Tagging with free form tags is becoming an increasingly important indexing mechanism. However, free form tags have characteristics that require special treatment when used for searching or recommendation because they show much more variation than controlled keywords. In this paper we present a method that puts this
Tagging is a process whereby users freely choose keywords to label Web objects in order to share or recover them later. Tags associated to an object by the user depict his viewpoint or perception. The perception of the target user can be enhanced by aggregating and analyzing the tags associated to an object by other
The Bloom filter has become attractive as one of the methods of looking up data in the distributed system. Since two or more keywords can be used in the method based on the Bloom filter, it is more flexible than the distributed hash table (DHT). Especially, the key aspect of the structured Bloom filter is that 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.