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Sentiment Analysis of Customer Feedback and Reviews for Airline Services using Language Representation Model

  • Published:2023 Issue: Volume:218 Page:2459-2467
  • ISSN:1877-0509
  • Container-title:Procedia Computer Science
  • language:en
  • Short-container-title:Procedia Computer Science

Author:

PATEL AKSH,OZA PARITA,AGRAWAL SMITA

Publisher

Elsevier BV

Subject

General Engineering

Reference28 articles.

1. A Novel Deep Learning based Sentiment Analysis of Twitter Data for US Airline Service;Hasib,2021

2. Sentiment Analysis Using Language Models: A Study;Kumawat,2021

3. Twitter US Airline Sentiment, https://www.kaggle.com/crowdflower/twitter-airline-sentiment

4. Hybrid words representation for airlines sentiment analysis;Naseem,2019

5. Review of Machine Learning Techniques in Health Care;Pillai,2020

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1. CLASSIFICATION OF CUSTOMER SENTIMENTS BASED ON ONLINE REVIEWS: COMPARATIVE ANALYSIS OF MACHINE LEARNING AND DEEP LEARNING ALGORITHMS;Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi;2024-09-03

2. The impact of high arousal and displeasure on online review helpfulness: Exploring the moderating role of product involvement;Electronic Commerce Research and Applications;2024-09

3. Improving Classification Accuracy With Preprocessing Techniques For Sentiment Analysis;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10

4. A Comprehensive Review of Sentiment Analysis: Techniques, Datasets, Limitations, and Future Scope;2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT);2024-04-19

5. Decoding digital nomad destination decisions through user-generated content;Technological Forecasting and Social Change;2024-03
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