Sentiment Analysis Using Learning-based Approaches: A Comparative Study

Jing Xiang Ng*, Kian Ming Lim, Chin Poo Lee, Qi Zhi Lim, Eric Khang Heng Ooi, Nicole Kai Ning Loh

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

2 Citations (Scopus)

Abstract

Sentiment analysis, which involves analyzing text data and using language computation to extract valuable information, is a significant focus in Natural Language Processing (NLP). It is widely used in various applications such as product review analysis, customer feedback analysis, and social media monitoring. This research investigates the performance of different machine learning and deep learning models for sentiment analysis on a dataset of customer reviews from an e-commerce platform. A total of eight approaches have been presented in this study including LightGBM, SVM, KNN with bagging, MultinomialNB, DNN, LSTM, BERT, and RoBERTa. The performance for all the proposed models was compared using four evaluation metrics: accuracy, precision, recall and F1-score. The experimental results indicate that the SVM model has outperformed all the other methods with a testing accuracy of 73.98%. The F1-score, precision and recall are also the highest at 0.71, 0.72 and 0.70 respectively. This study contributes to the sentiment analysis literature by demonstrating the effectiveness of different models for sentiment analysis on customer reviews datasets.

Original languageEnglish
Title of host publication2023 11th International Conference on Information and Communication Technology, ICoICT 2023
Pages469-474
Number of pages6
ISBN (Electronic)9798350321982
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event11th International Conference on Information and Communication Technology, ICoICT 2023 - Melaka, Malaysia
Duration: 23 Aug 202324 Aug 2023

Publication series

Name2023 11th International Conference on Information and Communication Technology, ICoICT 2023
Volume2023-August

Conference

Conference11th International Conference on Information and Communication Technology, ICoICT 2023
Country/TerritoryMalaysia
CityMelaka
Period23/08/2324/08/23

Keywords

  • BERT
  • LightGBM
  • RoBERTa
  • Sentiment Analysis
  • Support Vector Machine

Fingerprint

Dive into the research topics of 'Sentiment Analysis Using Learning-based Approaches: A Comparative Study'. Together they form a unique fingerprint.

Cite this