Exploring classification for sentiment analysis from halal based tweets
Globally, social media is gaining popularity and redefining how people interact with one another online. Malaysian individuals, for example, are increasingly reliant on social media platforms such as Facebook and Twitter as well as LinkedIn, Pinterest, Instagram, and other similar sites. C...
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Main Authors: | , , |
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Format: | Other |
Language: | English |
Published: |
ResearchGate
2021
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Subjects: | |
Online Access: | http://eprints.uthm.edu.my/6713/1/P13612_672eb4b3c3f7220482fcda8be619a60a.pdf http://eprints.uthm.edu.my/6713/ |
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Summary: | Globally, social media is gaining popularity and
redefining how people interact with one another online.
Malaysian individuals, for example, are increasingly reliant on
social media platforms such as Facebook and Twitter as well as
LinkedIn, Pinterest, Instagram, and other similar sites.
Consider sentiment analysis to be a sub-category of social
listening. A social media sentiment analysis has uncovered the
public's current feelings on a particular topic or brand.
Sentiment analysis is a technique for characterizing and
capturing emotional states from unstructured text. The most
important part of sentiment analysis is to evaluate a body of
text to comprehend the opinion expressed by it. It usually
assigns a polarity of “positive”, “negative” or “neutral”. It uses
an algorithmic technique to capture people's thoughts,
sentiments, and emotions by incorporating Natural Language
Processing and Machine Learning technology. Sentiment
analysis in Malaysia's social media is challenging to perform
since posts are frequently written in a mixed language, usage of
English and Malay with embedded jargon and various district
dialect. The classification was performed based on Malaysia
halal certification scheme for each tweet to acquire the class
label's frequency value based on the sentiment analysis
process's polarity results. It will demonstrate social media
users' proclivity for posting and can act as a reference point for
users when making decisions. An analysis of amounted 500
tweets with the hashtag #sijilhalal elicited information
regarding people's feelings, preconceptions, and attitudes
toward various issues related to halal certification in Malaysia.
The discovery of a person's emotions concerning halal topics is
visualized. Muslims' views are of importance to #sijilhalal
awareness. |
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