Aspect Term Extraction Using Deep Learning-Based Approach on Indonesian Restaurant Reviews

RACHMANSYAH ADHI WIDHIANTO

Informasi Dasar

21.04.1362
C
Karya Ilmiah - Skripsi (S1) - Reference

Aspect extraction is a fundamental process in aspect-based sentiment analysis that aims to extract aspects from opinion texts. In this paper, we present an aspect extraction on Indonesian restaurant reviews using a deep learning-based approach. We collected and annotated Indonesian restaurant reviews dataset from one of the well-known restaurant reviews website, namely Zomato. We performed the annotation on token-level and used the following aspect labels to annotate the reviews: FOOD, PRICE, AMBIENCE, SERVICE, and MISCELLANEOUS. The experimental result shows that the LSTM model gave the best performance with micro average F1-score of aspect extraction is 55,1%.

Subjek

Natural language processing
 

Katalog

Aspect Term Extraction Using Deep Learning-Based Approach on Indonesian Restaurant Reviews
 
 
 

Sirkulasi

Rp. 0
Rp. 0
Tidak

Pengarang

RACHMANSYAH ADHI WIDHIANTO
Perorangan
 
 

Penerbit

Universitas Telkom
 
2021

Koleksi

Kompetensi

 

Download / Flippingbook

 

Ulasan

Belum ada ulasan yang diberikan
anda harus sign-in untuk memberikan ulasan ke katalog ini