한국콘텐츠학회:학술대회논문집 (Proceedings of the Korea Contents Association Conference)
- 한국콘텐츠학회 2019년도 춘계종합학술대회
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- Pages.179-180
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- 2019
Word Embedding기반 Twitter 해시 태그 클러스터링
Twitter Hashtags Clustering with Word Embedding
- Nguyen, Tien Anh (Chonnam national university) ;
- Yang, Hyung-Jeong (Chonnam national university)
- 발행 : 2019.05.17
초록
Nowadays, clustering algorithm is considered as a promising solution for lacking human-labeled and massive data of social media sites in numerous machine learning tasks. Many researchers propose disaster event detection systems have ability to determine special local events, such as missing people, public transport damage by clustering similar tweets and hashtags together. In this paper, we try to extend tweet hashtag feature definition by applying word embedding. The experimental results are described that word embedding achieve better performance than the reference method.
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