The Sentiment Analysis of Spider-Man: No Way Home Film Based on
IMDb Reviews

Dublin Core

Title

The Sentiment Analysis of Spider-Man: No Way Home Film Based on
IMDb Reviews

Subject

sentiment analysis, movie reviews, spider-man, classification, IMDb

Description

Sentiment analysis is used to determine the overall sentiment in a movie review. The goal of this paper is to investigate the
sentiment analysis using multiple classification methods from Spider-Man: No Way Home movie reviews. The review dataset
is procured from the IMDb website. Preprocessing methods are used and compared to determine the difference in accuracy
score. The methods proposed for this study include Naïve-Bayes, Support Vector Machine (SVM), Stochastic Gradient Descent
(SGD), and Decision Tree to find the best accuracy possible. The sentiment analysis of the movie review resulted in 94 positive
reviews and 65 negative reviews. The highest accuracy and f1 score for this study are obtained from the SVM and the SGD
classifier with an accuracy of 82% and an F1 score of 81% respectively

Creator

Tb Dzulfiqar Alhafidh1
, P. H. Gunawan2*
, Bambang Ari Wahyudi3

Publisher

Telkom University

Date

28-02-2022

Contributor

Fajar bagus W

Format

PDF

Language

Indonesia

Type

Text

Files

Collection

Citation

Tb Dzulfiqar Alhafidh1 , P. H. Gunawan2* , Bambang Ari Wahyudi3, “The Sentiment Analysis of Spider-Man: No Way Home Film Based on
IMDb Reviews,” Repository Horizon University Indonesia, accessed June 3, 2025, https://repository.horizon.ac.id/items/show/9098.