Rancang Bangun Ekstraksi Ekspresi Kata Kerja pada Ulasan Pelanggan Dengan Text Chunking untuk Memaparkan Pengalaman Penggunaan Produk

Almira Fiana Dhara
Submission Date: 2017-07-12 15:00:56
Accepted Date: 2018-01-09 21:27:30

Abstract


Saat ini, hampir seluruh situs e-commerce memiliki fitur ulasan pelanggan mengenai produk atau jasa yang telah dibeli dan dapat dibaca oleh seluruh pengguna Seiring berjalannya waktu, ulasan pelanggan tersebut terus bertambah semakin banyak, terutama pada produk dan jasa yang populer. Sehingga, e-commerce menambahkan beberapa fitur seperti rating, ulasan positif dan netral populer, dan beberapa fitur lainnya untuk memudahkan pengguna. Tetapi, hal yang luput diperhatikan oleh e-commerce adalah e-commerce tidak menonjolkan pengalaman seperti apa yang didapat pengguna saat menggunakan produk atau jasa. Padahal, pengalaman tersebut merupakan informasi penting bagi pengguna agar mengetahui kegunaan dan manfaat dari produk dan jasa tersebut.

Oleh karena itu, diperlukan fitur yang dapat menampilkan pengalaman penggunaan produk secara ringkas sehingga pelanggan dapat mengetahui secara umum kegunaan dan manfaat dari produk tersebut. Pada penelitian ini, pengalaman penggunaan produk terbatas pada aktivitas yang dilakukan pengguna ketika memakai produk tersebut. Metode yang akan digunakan adalah membuat prototipe dengan Text Chunking untuk mengekstrak informasi mengenai pengalaman penggunaan produk dari ulasan pelanggan. Luaran yang diharapkan dari penelitian ini adalah perangkat lunak yang menampilkan daftar kata kerja yang sering muncul pada ulasan sebagai representasi aktivitas yang dilakukan pengguna ketika memakai produk.


Keywords


Online Reviews, CRM, Text Chunking

References


D. Mayzlin, Y. Dover and J. A. Chevalier, An Empirical Investigation of Online Review Manipulation, Cambridge: National Bureau of Economic Research, 2012.

J. Callaham, "The new Google Store is your one-stop web shop for Chromebooks, Nexus devices and more," AndroidCentral, 11 March 2015. [Online]. Available: http://www.androidcentral.com/new-google-store-your-one-stop-web-shop-chromebooks-nexus-devices-and-more. [Accessed 15 February 2017].

G. G. Chowdhury, "Natural Language Processing," in Annual Review of Information , 2003, pp. 51-90.

E. D. Liddy, "Natural Language Processing," in Encyclopedia of Library and Information Science, 2nd Ed, NY, Marcel Decker Inc., 2001.

L. A. Ramshaw and M. P. Marcus, "Text Chunking using Transformation-Based Learning," Journal of Computer Science, pp. 82-95.

D. Zhu, "Text Chunking Using NLTK," Microsoft Corporation, China, 2014.

A. Ratnaparkhi, "A Maximum Entropy for Part-of-Speech Tagging," Journal of Artificial Intelligence, vol. 2, no. 1, p. 10, 2009.

C. F. a. S. L. Alexander Clark, The handbook of computational linguistics and natural language processing, Wiley, 2010.

N. Solutions, "What Is E-Commerce?," Network Solutions, [Online]. Available: http://www.networksolutions.com/education/what-is-ecommerce/. [Accessed 3 February 2015].

K. Arline, "What Is E-Commerce?," Business News Daily, 2015 February 2015. [Online]. Available: http://www.businessnewsdaily.com/4872-what-is-e-commerce.html. [Accessed 3 February 2016].

BloomIdea, "Types of E-Commerce," BloomIdea, 5 May 2014. [Online]. Available: http://bloomidea.com/en/blog/types-e-commerce. [Accessed 2 February 2016].

L. Huayi, A. Mukherjee, J. Si and B. Liu, "Extracting Verb Expressions Implying Negative Opinions," Association for the Advancement of Artificial Intelligence, pp. 1-7, 2015.


Full Text: PDF

CC Licencing


Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

Refbacks

  • There are currently no refbacks.


Creative Commons License
Jurnal Teknik ITS by Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Based on a work at http://ejurnal.its.ac.id/index.php/teknik.
Statistik Pengunjung