Work

Machine Learning-Based Sentiment Analysis for Twitter Accounts

Year: 2018

Type: article

Abstract: Growth in the area of opinion mining and sentiment analysis has been rapid and aims to explore the opinions or text present on different platforms of social media through machine-learning techniques with sentiment, subjectivity analysis or polarity calculations. Despite the use of various machine-learning techniques and tools for sentiment analysis during elections, there is a dire need for a state-of-the-art approach. To deal with these challenges, the contribution of this paper includes the adoption of a hybrid approach that involves a sentiment analyzer that includes machine learning. Moreover, this paper also provides a comparison of techniques of sentiment analysis in the analysis of political views by applying supervised machine-learning algorithms such as Naïve Bayes and support vector machines (SVM).

Source: Mathematical and Computational Applications

DOI: 10.3390/mca23010011

Authors: Ali Hasan, Sana Moin, Ahmad Karim, Shahaboddin Shamshirband

Institutions: Air University, Bahauddin Zakariya University, Ton Duc Thang University

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,689

OpenAlex ID: W2792883466

FWCI: 23.72

Cites: 45

Cited by: 467

Related to: 10