A Framework for Sentiment Analysis Implementation of Indonesian Language Tweet on Twitter

International Conference on Computing and Applied Informatics 2016

物理学;计算机科学

Asniar^1 ; Aditya, B.R.^1

School of Applied Science, Telkom University, Jl. Telekomunikasi No.1, Bandung, Indonesia^1

关键词: Digital datas;    Government IS;    Indonesian languages;    Local government;    Social media datum;    Supervised algorithm;    Textual data;    Work programs;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/801/1/012065/pdf
DOI  :  10.1088/1742-6596/801/1/012065

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Sentiment analysis is the process of understanding, extracting, and processing the textual data automatically to obtain information. Sentiment analysis can be used to see opinion on an issue and identify a response to something. Millions of digital data are still not used to be able to provide any information that has usefulness, especially for government. Sentiment analysis in government is used to monitor the work programs of the government such as the Government of Bandung City through social media data. The analysis can be used quickly as a tool to see the public response to the work programs, so the next strategic steps can be taken. This paper adopts Support Vector Machine as a supervised algorithm for sentiment analysis. It presents a framework for sentiment analysis implementation of Indonesian language tweet on twitter for Work Programs of Government of Bandung City. The results of this paper can be a reference for decision making in local government.