Soelistio, Yustinus Eko and Surendra, Martinus Raditia Sigit (2015) Simple Text Mining for Sentiment Analysis of Political Figure Using Naive Bayes Classifier Method. In: Proceedings of the 7th ICTS.
Full text not available from this repository.Abstract
Text mining can be applied to many fields. One of the application is using text mining in digital newspaper to do politic sentiment analysis. In this paper sentiment analysis is applied to get information from digital news articles about its positive or negative sentiment regarding particular politician. This paper suggests a simple model to analyze digital newspaper sentiment polarity using naive Bayes classifier method. The model uses a set of initial data to begin with which will be updated when new information appears. The model showed promising result when tested and can be implemented to some other sentiment analysis problems.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems |
| Divisions: | Faculty of Engineering & Informatics > Information System |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 14 Dec 2021 08:03 |
| Last Modified: | 14 Dec 2021 08:03 |
| URI: | https://kc.umn.ac.id/id/eprint/19646 |
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