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Research on Algorithm of Topic Detection and Tracking

Author: ZhangMeiZhen
Tutor: ZuoYouLi
School: Beijing Jiaotong University
Course: Computer Science and Technology
Keywords: Topic Detection Topic Tracking Time information Update topic Hierarchical clustering
CLC: TP391.1
Type: Master's thesis
Year: 2010
Downloads: 457
Quote: 3
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Abstract


Topic Detection and Tracking (Topic Detection and Tracking, TDT) is a new field of natural language processing research direction , which is designed to help people solve the problem of information explosion on the Internet , can help people to various news reports a new topic information flow automatic detection and follow -up reports of known topics , and organized the show in front of people. Topic detection , Topic Tracking TDT were two subtasks. Topic detection and tracking system main modules are news reports of preprocessing, feature extraction term , weight calculations, construct topic vectors similarity between the model calculations and reporting . The traditional hierarchical clustering algorithm based on the topic detection algorithm overhead is too large , so in this algorithm , based on proposed and implemented a new topic detection algorithm in the hierarchical clustering process dynamic update feature vector space topic and You can set the clustering process news reports merge rule . In TDT5 corpus experiments show that the algorithm improves the topic of correct detection rate and reduce the data processing news computational overhead . The traditional topic tracking algorithm (BasedTT) reported sparse training issues , the use of the idea of adaptive information filtering , topic tracking algorithm to achieve the topic dynamic update feature vector module . According to press reports with dynamic , time-varying characteristics , proposed and implemented based on the time information of the dynamic adaptive threshold topic tracking algorithm (ATT Time). Experiments show that the improved algorithm can improve the topic ATT Time Tracking system performance.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
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