Topic Detection and Tracking
Topic detection and tracking on heterogeneous information
... of topic detection from heterogeneous ...meme- tracking model that iteratively updates the hyper-parameter that controls the document-topic distribution to capture the temporal dynamics of the ...
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Topic detection and tracking on heterogeneous information
... of topic detection from heterogeneous ...meme- tracking model that iteratively updates the hyper-parameter that controls the document-topic distribution to capture the temporal dynamics of the ...
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Semantic Language Models for Topic Detection and Tracking
... the Topic Detection and Tracking (TDT) ...link detection sub- task of TDT as a two-class classification prob- lem in which the features of each sample con- sist of the generative ...
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Automated Monitoring of Online News Streams: Topic Detection and Tracking Considerations.
... in topic detection and tracking research, a secondary goal of this study is to introduce RSS, provide a rationale for its use in this type of research, and to present a methodology for RSS corpus ...
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Multilingual Topic Detection and Tracking: Successful Research Enabled by Corpora and Evaluation
... Abstract Topic Detection and Tracking (TDT) refers to automatic techniques for locating topically related material in streams of data such as newswire and broadcast ...
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On-Line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking
... online topic model, however, makes use of the con- jugacy property of the Dirichlet distribution to keep the model’s structure simple, and to enable sequential infer- ...and tracking their drift over time. ...
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Layered performance modelling and evaluation for cloud topic detection and tracking based big data applications
... 3.6 Development of a Holistic, End-to-end, and Layered Performance Model Having an in-depth understanding of the performance of TDT-based applications has many benefits. For example, the improvement in the rate at which ...
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A Multi-layered Performance Analysis for Cloud-based Topic Detection and Tracking in Big Data Applications
... An important first step is to study and analyse the performance of cloud-based TDT (CTDT) applications. Developing analysis capabilities that can capture the performance of CTDT applicat[r] ...
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Multilingual and cross lingual news topic tracking
... 1 Introduction Most large organisations, companies and politi- cal parties have a department analysing the news on a daily basis. Motivations differ, but often these organisations want to know how they and their leading ...
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Extraction technologies of blog topic detection
... the topic of unexpected degree. BLOG TOPIC DESIGN SCHEME OF THE MODELTHE REPRESENTATION OF A TOPIC MODEL Events and activities by the TDT topic is subject component elements by the definition ...
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MULTI-MODAL EVENT TOPIC MODEL FOR EVENT TRACKING
... event tracking and topic ...analysis. Topic modeling is gaining increasingly attention in different text mining ...probabilistic topic model to analyze text corpora and infer descriptions of ...
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Topic Detection Based on Dialogue History
... Prompt topic detection in real time processing; - Dynamic tracking of topic ...make topic detection adaptive to the speech translation system, we propose a method applicable to ...
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A probabilistic method for emerging topic tracking in Microblog stream
... Emerging Topic Tracking in Microblog Stream 1 Jiajia Huang Min Peng Hua Wang Jinli Cao Gao Wang Xiuzhen Zhang Abstract Microblog is a popular and open platform for discovering and sharing the latest news ...
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Tracking unbounded Topic Streams
... from topic tracking as a mean to generate their data ...standard topic tracking typically operates on a small scale and against a static set of predefined target ...unbounded topic ...
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Experiments in Topic Detection
... “sticking together” different parts of the text to function as a whole. It is achieved through the use of grammatical cohe- sion , i.e., reference, substitution, ellipsis and conjunction, and lexical cohesion , i.e., ...
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Topic Tracking Based on Linguistic Features
... materials. Tracking task, ...target topic, is a new line of research to attack the ...the tracking task is how to make a clear distinction between a topic and an event in the ...a topic ...
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Topic tracking language model for speech recognition
... 1. Tracking temporal changes in language ...a topic dependent word probability and each mixture weight corresponds to a topic proportion ...on tracking temporal changes within the indirect ...
Object Tracking and Detection
... As per technical evolution and latest trends taken into consideration, here effectively created a system i.e. face recognition system. This system is created in the vision of security point of view so it can be use for ...
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Tracking-Learning-Detection
... Template tracking can be either realized as static [15] (when the target template does not change), or adaptive [2], [3] (when the target template is extracted from the previous ...template tracking have ...
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Tracking-Learning-Detection
... Template tracking can be either realized as static [15] (when the target template does not change), or adaptive [2], [3] (when the target template is extracted from the previous ...template tracking have ...
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