Topic detection based on keyword
Topic Detection is a sub-task of Topic Detection and Tracking, its main task is to find and organize topics that system didn't know. By analyzing hundreds of website news reports, we find that usually there exist some keywords in text, and early study didn't pay enough attention to this, w...
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| creator | Liang Yue Shibin Xiao Xueqiang Lv Tao Wang |
| description | Topic Detection is a sub-task of Topic Detection and Tracking, its main task is to find and organize topics that system didn't know. By analyzing hundreds of website news reports, we find that usually there exist some keywords in text, and early study didn't pay enough attention to this, we propose a topic detection algorithm according this. The algorithm is based on K-means clustering algorithm, choose keywords and enhance the weight of keywords. Experiment proves it can improve the efficiency of system. |
| doi_str_mv | 10.1109/MEC.2011.6025502 |
| format | Conference Proceeding |
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| identifier | ISBN: 1612847196 |
| ispartof | 2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC), 2011, p.464-467 |
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| language | eng |
| recordid | cdi_ieee_primary_6025502 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Algorithm design and analysis Clustering algorithms Detection algorithms Educational institutions Event detection Information processing Information science K-Means Keyword Topic detection |
| title | Topic detection based on keyword |
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