Analysis of Public Opinion on Instagram Social Media on Convolutional Neural Network

arjuna prayoga  satriongko; Muhammad Fauzan Alpri; Jonathannael Benerghes Putramasi; Supina Batubara

doi:10.61306/jitcse.v1i2.52

Authors

arjuna prayoga satriongko Universitas Pembangunan Panca Budi
Muhammad Fauzan Alpri
Jonathannael Benerghes Putramasi
Supina Batubara

DOI:

https://doi.org/10.61306/jitcse.v1i2.52

Keywords:

Instagram, Social Media, Public Opinion, Convolutional Neural Networks (Cnns), Sentiment Analysis, Content Analysis

Abstract

This study investigates public opinion on Instagram social media regarding Convolutional Neural Networks (CNNs). Instagram has become a prominent platform for sharing opinions and content, making it crucial to understand how CNNs are perceived and discussed. The analysis utilizes sentiment analysis and content analysis techniques to gauge the sentiments and topics surrounding CNN discussions on Instagram. Findings reveal the dominant sentiments and prevalent themes in public discourse, shedding light on the broader perceptions and understanding of CNN technology within the Instagram community.

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