GIS-理論と応用
Online ISSN : 2185-5633
Print ISSN : 1340-5381
ISSN-L : 1340-5381
研究・技術ノート
位置情報付きツイートから名詞形態素n-gramを用いた被災地状況を可視化するためのノイズリダクション手法の検討
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ジャーナル フリー

2019 年 27 巻 2 号 p. 67-73

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In this paper, we did not generate the noise filter in advance, and we focused on the noise reduction method which automatically generates and uses the filter using only the noise reduction targeted tweets. Specifically, in each targeted tweet of noise reduction, a morpheme n-gram analysis of only nouns was performed, those with a high combination frequency of nouns were generated as noise filters. The results suggest that there is a certain degree of effects of noise reduction method under the condition of morpheme 4-gram of noun and frequency threshold 3 or 5 in the case where the number of tweets to be processed is at least about 110 or more.

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© 2019 一般社団法人 地理情報システム学会
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