Comparison of Feature Extraction in Support Vector Machine (SVM) Based Sentiment Analysis System

Comparison of Feature Extraction in Support Vector Machine (SVM) Based Sentiment Analysis System

Sentiment analysis plays a crucial role in natural language processing by identifying and categorizing opinions or emotions conveyed in textual data. It is widely applied across diverse fields such as product review analysis, social media monitoring, and market research. To enhance the accuracy and...

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Bibliographic Details
Main Authors: Imam Fahrur Rozi, Irma Maulidia, Mamluatul Hani’ah, Rakhmat Arianto, Dika Rizky Yunianto, Ahmadi Yuli Ananta
Format: Article
Language:English
Published: Informatics Department, Engineering Faculty 2025-07-01
Series:Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi
Subjects:
ANOVA
Bag of Word
Feature Extraction
Sentiment Analysis
SVM
TF-IDF
Online Access:https://kursorjournal.org/index.php/kursor/article/view/417
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