e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

Call for Papers 2020

Dec 2020 - Volume 11, Issue 6
Deadline: 15 Nov 2020
Publication: 20 Dec 2020

Feb 2021 - Volume 12, Issue 1
Deadline: 15 Jan 2021
Publication: 20 Feb 2021

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IJCSE Indexed in Scopus

ABSTRACT

Title : SENTIMENT ANALYSIS TECHNIQUES TO ANALYZE HSE SITUATIONAL AWARENESS AT OIL AND GAS PLATFORMS USING MACHINE LEARNING
Authors : Dafuallah Esameldien Dafaallah, Ahmad Sobri Hashim
Keywords : HSE; Sentiment Analysis; Naïve Bayes; Machine Learning
Issue Date : Sep-Oct 2020
Abstract :
Health Safety & Environment (HSE) situational awareness is a very important aspect of any risky workplace. Negligence in complying with HSE policies and practices might lead to unwanted incidents, critical injuries, death, spread of diseases and environmental pollution. In most corporations, information on HSE related incidents is disseminated through formal channels such as reports. Employees on the other hand frequently use social media to share, complain and discuss HSE-related issues. The issues are discussed through an informal platform, it is difficult to analyze opinions for further action. Therefore, this study will investigate existing sentiment analysis models and formulate a suitable sentiment analysis model using machine learning technique. Through literature review, Naïve Bayes model was found to be the most efficient text classification in sentiment analysis. This technique still needs further enhancement as the accuracy is not within requirement. Upon enhancing the Naïve Bayes model, a better outcome can be attained.
Page(s) : 640-645
ISSN : 0976-5166
Source : Vol. 11, No.5
PDF : Download
DOI : 10.21817/indjcse/2020/v11i5/201105244