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jurnal syntax admiration
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jurnal syntax admiration
Published by Syntax Corporation Indonesia
ISSN : 27227782     EISSN : 27225356     DOI : https://doi.org/10.36418
Core Subject : Science, Education, Social, Engineering,
Aerospace Engineering Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics
Syntax Admiration. Jurnal Syntax Admiration adalah jurnal yang diterbitkan sebulan sekali oleh CV. Syntax Corporation Indonesia. Syntax Admiration akan menerbitkan artikel ilmiah dalam lingkup ilmu sosial teknik. Artikel yang diterbitkan adalah artikel dari penelitian, studi atau studi ilmiah kritis dan komprehensif tentang isu-isu penting dan terkini atau ulasan buku-buku ilmiah.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 11 Documents
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Search results for , issue "Vol. 3 No. 9 (2022): Jurnal Syntax Admiration" : 11 Documents clear
Analisis Sentimen Opini Masyarakat Terhadap Tech Winter Pada Twitter Menggunakan Natural Language Processing Rifky Aziz Fauzianto; Supatman
Jurnal Syntax Admiration Vol. 3 No. 9 (2022): Jurnal Syntax Admiration
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jsa.v3i9.909

Abstract

Sektor teknologi secara berkala mengalami fluktuasi, dan istilah "Tech Winter" telah diciptakan untuk menggambarkan periode penurunan. Studi ini bertujuan untuk menganalisis sentimen masyarakat terhadap Tech Winter di Twitter, memanfaatkan kemampuan Natural Language Processing (NLP). Dengan menggunakan berbagai model NLP—Regresi Logistik, Support Vector Machine (SVM), Random Forest, Neural Network, dan Naive Bayes—penelitian ini membandingkan efektivitas mereka dalam menafsirkan sentimen yang diungkapkan dalam tweet. Temuan menawarkan pemahamantentang opini publik selama periode ini dan mengungkapkan model NLP yang paling efektif untuk analisis sentimen.

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