[PDF] Top 20 A New Intelligent Topic Extraction Model on Web

... artificial extraction and semantic mark of ...of topic extraction method is a feasible new ...between topic and the documents in learning ...of topic extraction, and ... See full document

... Recent approaches to personalized and topic-sensitive PageRank schemes are given in [Xing and Shen, (2004)], [Chevalier et al. (2003)], [Arasu et al. (2002)]. Accelerating the PageRank algorithm computation was ... See full document

... Since neither NEWS nor RESEARCH itself is large enough to learn efficient topics, we use the Wikipedia snapshot at March 2008 4 to build topic interpreters with LDA. After removing non-article pages and the ... See full document

... of new recreational drugs and trends, an important application for mining current information for healthcare ...jointly model combinations of drug (mari- juana, salvia, ...unsupervised topic ... See full document

... paper Topic Extraction Based on Continious Speech Recognition in Broadcast News Speech had studied, the extraction of several topic words from broadcast news using continuous speech ... See full document

... best topic model for event extraction ...LDA topic model without modifying underlying mechanism of lda by hash tag pooling and temporal Pooling to make large document of tweets contain ... See full document

... represent Web access sequences (WAS) in the Web usage ...between Web-pages. By using these approaches, given the current visited Web-page (referred to as a state) and k previously visited ... See full document

... traditional topic detection clustering strategy and realize hot topic auto-discovery, we re-examined density-based clustering algorithms, and then put forward a sub-cluster relation-based and ... See full document

... Using topic models to discover subtypes of businesses, a domain-specific sentiment lexicon, and a number of new techniques for increasing precision in sen- timent aspect extraction yields attributes ... See full document

... phishing web-forms in a single framework, which allows feature extraction and feature model ...The intelligent phishing security for online approach is based on machine learning techniques, ... See full document

... expression, topic that is more abstract concept than events and activities can understand into induction and summary of the related event ...discussing, topic is reinterpreted unceasingly, therefore looked ... See full document

... syndicated articles. Popular items like syndicated columns or news articles written by global news agencies or Reuters appear in tens of newspapers. Even the top 100 results returned by Google contain only a very few ... See full document

... online topic graph extraction and exploration of web ...The topic graph is constructed from N web snippets which are determined by a standard search en- ...the extraction of a ... See full document

... of web data based on the Research Domain Criteria (RDoC)[17], and used this corpus to create a vector space document similarity model for topic ...Using web data (in this case data retrieved ... See full document

... Deep Web is a vague description of the internet not necessarily accessible to search ...Deep Web is a part of the internet not accessible to link-crawling search engines like ...a web search form, ... See full document

... A. The Student Module (Knowledge of Learners): comprises the student's individual data as account number, password, name, email, major; and related data that are extracted directly from the student. Student cognitive ... See full document

... On the other hand, birth place and nationality have very different results for new relation acquisition vs. finding sentence support for new relations. The reason is that these relations are very correlated ... See full document

... latent topic models have re- cently enjoyed much success in extracting and analyzing latent topics in text in an un- supervised ...existing topic models, though, is that they would not work well for ... See full document

... Few studies reported selecting or tailoring implemen- tation strategies based on theory, assessing barriers or any other rationale. This finding also emerged in other systematic reviews on implementation [60,61] despite ... See full document

... same topic implies that they sim- ply occur in the presence of similar signs (though not as direct neighbors of those signs, since they do not group together in the neighbor-based clus- ...tering). Topic ... See full document