Machine Learning Sentiment Analysis in Detection System for Rupiah Currency Value Using SysML Language

Author:

Aurachman Rio,Ramadani Luthfi,Utomo Nino Setyo

Abstract

Abstract Currency values fluctuate. Some research has tried to find ways to predict the value. One that can be a sign and a trigger for changes in currency values is the people’s sentiment. This paper tries to propose a system and programming script that can predict currency values using sentiment analysis. The system is designed using SysML. The algorithm used is Bag of Words R Programming.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

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1. Development and Application of Machine Learning Algorithms for Sentiment Analysis in Digital Manufacturing;Emerging Technologies in Digital Manufacturing and Smart Factories;2024-02-23

2. Sentiment Analysis of Online Catering User Comments Based on Random Forest Feature Extraction;2022 IEEE 10th International Conference on Information, Communication and Networks (ICICN);2022-08-23

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