The Research on Term Field Based Term Co-Occurrence Model

Qiao, Yanan; Qi, Yong; He, Hui

doi:10.1109/skg.2007.116

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2017

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“…So it can be widely used in the field of information retrieval, text clustering and so on [1][2][3] . We can use this model to abtain the distance between words, which can be used for clustering analysis.…”

Section: Introductionmentioning

confidence: 99%

Hot Topic Clustering Based On Words Distances

Liu¹,

Guan²,

Jian³

et al. 2017

Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017

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Abstract. In order to find the relevance of the key words in the hot topics effectively, we proposed a clustering method based on words-distances. We calculated the distances between the words firstly, then calculated the sectional density of each words. We regarded the words which have higher sectional density and far away from sectional density point as the center point in the clustering. After find the center point, we start to clustering. This method through decision diagram on estimating the number of clusters. At last, we can find the results on the evaluating indicator of accuracy rate and recall rate.

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Section: Introductionmentioning

confidence: 99%