TY - GEN
T1 - Named entity recognition on Indonesian Twitter posts using long short-term memory networks
AU - Rachman, Valdi
AU - Savitri, Septiviana
AU - Augustianti, Fithriannisa
AU - Mahendra, Rahmad
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/5/4
Y1 - 2018/5/4
N2 - The task of Named-Entity Recognition (NER) can support the higher-level tasks such as question answering, text summarization, and information retrieval. This work views NER on Indonesian Twitter posts as a sequence labeling problem using supervised machine learning approach. The architecture used is Long Short-Term Memory Networks (LSTMs), with word embedding and POS tag as the model features. As the result, our model can give a performance with an F1 score of 77.08%.
AB - The task of Named-Entity Recognition (NER) can support the higher-level tasks such as question answering, text summarization, and information retrieval. This work views NER on Indonesian Twitter posts as a sequence labeling problem using supervised machine learning approach. The architecture used is Long Short-Term Memory Networks (LSTMs), with word embedding and POS tag as the model features. As the result, our model can give a performance with an F1 score of 77.08%.
KW - Indonesian language
KW - Long Short-Term Memories
KW - Named Entity Recognition
KW - Twitter
UR - http://www.scopus.com/inward/record.url?scp=85050947144&partnerID=8YFLogxK
U2 - 10.1109/ICACSIS.2017.8355038
DO - 10.1109/ICACSIS.2017.8355038
M3 - Conference contribution
AN - SCOPUS:85050947144
T3 - 2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017
SP - 228
EP - 232
BT - 2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017
Y2 - 28 October 2017 through 29 October 2017
ER -