Arham, Anshar Zamrudillah (2018) Klasifikasi Ulasan Buku Menggunakan Algoritma Convolutional Neural Network - Long Short Term Memory. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Salah satu parameter untuk mengukur kualitas suatu produk
adalah ulasan konsumen terhadap produk tersebut, apakah negatif
(mengecewakan) atau positif (memuaskan). Ulasan dari konsumen
berbeda dengan ulasan dari pedagang atau distributor yang
mengandung unsur promosi. Ulasan konsumen cendrung bersifat jujur
berdasarkan opini masing-masing. Pada zaman meluasnya
perdagangan hingga ke dunia maya ini, diperlukan proses ekstraksi
opini dari ulasan konsumen yang biasa disebut opinion mining. Proses
ini dilakukan untuk mengetahui kecendrungan reviewer terhadap
objek yang diulasnya. Salah satu model yang digunakan untuk
melakukan opinion mining yang sedang berkembang saat ini adalah
deep learning. Pada Tugas Akhir ini dilakukan klasifikasi opini
konsumen menggunakan kombinasi algoritma Convolutional Neural
Network (CNN) dan Long Short Term Memory (LSTM). Metode ini
diimplementasikan untuk data ulasan buku yang diperoleh dari
Amazon.com. Hasil dari metode tersebut menunjukkan performansi
yang lebih baik daripada kombinasi algoritma CNN - L2-SVM.
==================================================================================================================One of parameter to measure the quality of a product is the
consumer reviews of the product, whether negative (disappointing) or
positive (satisfactory). The customer reviews are different with
merchants or distributors reviews that contain promotional value.
Consumer reviews tend to be honest based on their respective
opinions. In this era of widespread trade to the virtual world, it takes
the process of opinion extraction from consumer reviews which
commonly called opinion mining. The goal of this process is to
determine the reviewer tendency towards the reviewed object. One of
the evolve models of opinion mining is deep learning. This Final
Project is classifying book using a combination of Convolutional
Neural Network (CNN) and Long Short Term Memory (LSTM)
algorithms. This method is implemented for book review data obtained
from Amazon.com. The results of this method show a better
performance than the combination CNN-L2-SVM algorithm.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSMa 006.31 Arh k |
| Uncontrolled Keywords: | Reviews; Opinion Mining; Natural Language Processing; Deep Learning |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA76.6 Computer programming. Q Science > QA Mathematics > QA76.87 Neural networks (Computer Science) |
| Divisions: | Faculty of Mathematics, Computation, and Data Science > Mathematics > 44201-(S1) Undergraduate Thesis |
| Depositing User: | Anshar Zamrudillah Arham |
| Date Deposited: | 26 Apr 2018 05:50 |
| Last Modified: | 29 Jun 2020 06:46 |
| URI: | http://repository.its.ac.id/id/eprint/51134 |
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