Experimentation Of Various Preprocessing Pipelines For Sentiment Analysis On Twitter Data About New Indonesia’s Capital City Using SVM And CNN

Author:

Pebiana Siska1,Hidayati Nuraisa Novia1,Afra Dian Isnaeni Nurul1,Nurfadhilah Elvira1,Prafitia Harnum Annisa1,Prihantoro Junanto1,Fajri Radhiyatul1,Uliniansyah M. Teduh1,Santosa Agung1,Aini Lyla Ruslana1,Sahreza Yosi1,Subekti Aulia Haritsuddin Karisma Muhammad1,Pinem Josua Geovani1,Alfin Muhammad Reza1,Septadi Agung1,Shaleha Siti1,Wibowanto Gembong Satrio1,Jarin Asril1,Gunarso 1,Latief Andi Djalal1,Riza Hammam1

Affiliation:

1. Electronics and Informatics Research Organization National Research and Innovation Agency (BRIN),Research Center for Artificial Intelligence and Cybersecurity,Jakarta,Indonesia

Publisher

IEEE

Reference29 articles.

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2. Sentiment Analysis on Youtube Social Media Using Decision Tree and Random Forest Algorithm: A Case Study

3. Sentiment Analysis Twitter Bahasa Indonesia Berbasis Word2Vec Menggunakan Deep Convolutional Neural Network;juwiantho;J Teknol Inf dan Ilmu Komput,2020

4. A mixed approach of deep learning method and rule-based method to improve aspect level sentiment analysis;ray;Appl Comput Informatics,2020

5. Sentiment analysis about E-commerce from tweets using decision tree, K-nearest neighbor, and naive bayes;bayhaqy;2018 International Conference on Orange Technologies (ICOT),2018

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