Journal of Advances in Information Technology, 2021
The information from social network can be used to report crisis situation especially natural dis... more The information from social network can be used to report crisis situation especially natural disaster events. This paper aims to present the utilization of information from twitter in the natural disaster event topic in order to detect the place of event that occurred base on Named Entity Recognition (NER). The place will extract from microblog-Twitter using three techniques: Degree, Betweeness, and Closeness Centrality and then using majority vote for the end of result. In preprocessing step, data only Thai language was collected from twitter using #hagibis in the topic of Super Typhon Hagibis blowing in Japan. Then using three techniques as mention to select only top 5 of words that related to the event. The experimental result show that the word "Japan, ญี ่ ปุ่ น" is the first word of three methods (Degree, Betweenness, Closeness Centrality) with score of 0.57, 0.55, and 0.65 respectively It showed that the message from twitter can be trusted and indicated the event location. Index Terms-Twitter message analysis, microblog analysis, entity detection B. Natural Language Processing Natural Language Processing (NLP) is a part of Artificial Intelligence that involves human language processing. It is the approach of information extraction Manuscript
Journal of Advances in Information Technology, 2021
The information from social network can be used to report crisis situation especially natural dis... more The information from social network can be used to report crisis situation especially natural disaster events. This paper aims to present the utilization of information from twitter in the natural disaster event topic in order to detect the place of event that occurred base on Named Entity Recognition (NER). The place will extract from microblog-Twitter using three techniques: Degree, Betweeness, and Closeness Centrality and then using majority vote for the end of result. In preprocessing step, data only Thai language was collected from twitter using #hagibis in the topic of Super Typhon Hagibis blowing in Japan. Then using three techniques as mention to select only top 5 of words that related to the event. The experimental result show that the word "Japan, ญี ่ ปุ่ น" is the first word of three methods (Degree, Betweenness, Closeness Centrality) with score of 0.57, 0.55, and 0.65 respectively It showed that the message from twitter can be trusted and indicated the event location. Index Terms-Twitter message analysis, microblog analysis, entity detection B. Natural Language Processing Natural Language Processing (NLP) is a part of Artificial Intelligence that involves human language processing. It is the approach of information extraction Manuscript
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Papers by Wannapa Phopli