EKSTRAKSI NAMA LOKASI DARI TWEETS INFORMASI LALU LINTAS

Yuda Munarko

Abstract


The extraction of traffic information from twitter is widely studied. For this purpose, we need to identify the name of a location from the tweet traffic information. Unfortunately, up to this research, research to detect the location entity from the tweet traffic information is rarely done. Therefore, we examined how to identify location entity of the tweet using rule-based and Stanford NER. We used data from accounts Sby Traffic Services, RTMC Ditlantas Jatim and Radio Suara Surabaya. Based on our experiment, Stanford NER is superior compared to rule-base which precision, recall and F1 are 99.43%, 98.89%, 99.16%. However, precision, recall and F1 of rule-based method are not so far from Stanford NER, which are 94.5%, 95.10%, 94.8%.

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References


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DOI: https://doi.org/10.22219/sentra.v0i1.2118

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Fakultas Teknik

Universitas Muhammadiyah Malang Kampus III

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