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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) snimed Jurnal Teknoin Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Perfecting a Video Game with Game Metrics Proceeding of the Electrical Engineering Computer Science and Informatics JOIN (Jurnal Online Informatika) International Journal of Artificial Intelligence Research JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Linguistik Komputasional Jurnal Informatika dan Rekayasa Elektronik Journal of Computer System and Informatics (JoSYC) Automata
Ahmad Fathan Hidayatullah, Ahmad Fathan
Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Journal : IAES International Journal of Artificial Intelligence (IJ-AI)

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Bidirectional long-short term memory and conditional random field for tourism named entity recognition Annisa Zahra; Ahmad Fathan Hidayatullah; Septia Rani
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 11, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v11.i4.pp%p

Abstract

The common thing to do when planning a trip is to search for a tourist destination. This process is often done using search engines and reading articles on the internet. However, it takes much time to search for such information, as to obtain relevant information, we have to read some available articles. Named entity recognition (NER) can detect named entities in a text to help users find the desired information. This study aims to create a NER model that will help to detect tourist attractions in an article. The articles used for the dataset are English articles obtained from the internet. We built our NER model using bidirectional long-short term memory (BiLSTM) and conditional random fields (CRF), with Word2Vec as a feature. Our proposed model achieved the best with an average F1-Score of 75.25% compared to all scenarios tested.
Co-Authors Adityo Permana Wibowo Ahmad Rafie Pratama Amiin Majiid Nugroho Anas Satria Lombu Annisa Zahra Azmiardhy Zulkifli Farmadiansyah Cahyaningtyas, Siwi Chairullah Naury Chanifah Indah Ratnasari Dantik Puspita Sari, Dantik Puspita Dhomas Hatta Fudholi Dimas Bintang Prasetyo Fayruz Rahma Febrianto Eko Saputro Fudholi, Dhomas Hatta Habib Faizal Fadli Kartika Rizqi Nastiti Kartika Rizqi Nastiti Muhammad Fakhri Despawida Aulia Putra Muhammad Fakhri Despawida Aulia Putra Muhammad Rifqi Ma'arif Nassharih Abdulloh Naury, Chairullah Nuli Giarsyani Pamungkas, Rheza Daffa Prasetyo, Alan Dwi PRATIWI, INTAN Rheza Daffa Pamungkas Ridho Rahmadi Satrio Wisnugroho Septia Rani Siwi Cahyaningtyas Yurio Windiatmoko