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Sentiment Analysis for Airlines Services Based on Twitter Dataset

  • Published:2019 Issue: Volume: Page:149-162
  • ISSN:
  • Container-title:Social Network Analytics
  • language:
  • Short-container-title:

Author:

Tiwari Prayag,Yadav Pranay,Kumar Sachin,Mishra Brojo Kishore,Nguyen Gia Nhu,Gochhayat Sarada Prasad,Singh Jagendra,Prasad Mukesh

Publisher

Elsevier

Reference29 articles.

1. Performance evaluation of lazy, decision tree classifier and multilayer perceptron on traffic accident analysis;Tiwari;Informatica,2017

2. Road-user specific analysis of traffic accident using data mining techniques;Tiwari,2017

3. Comparative analysis of big data;Tiwari;Int. J. Comput. Appl.,2016

4. Augmenting classifiers performance through clustering: a comparative study on road accident data;Kumar;Int. J. Inf. Retr. Res.,2018

5. A conjoint analysis of road accident data using K-modes clustering and bayesian networks;Sachin;Ann. Comput. Sci. Inf. Syst.,2017

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1. Analyzing sentiments towards E-Levy policy implementation in Ghana using twitter data;International Journal of Information Technology;2024-03-16

2. Analyzing US Airline Customer Sentiment on Twitter using Multinomial Logistic Regression and Feature Reduction;2023 7th IEEE Congress on Information Science and Technology (CiSt);2023-12-16

3. Hybrid Quantum-Classical Machine Learning for Sentiment Analysis;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15

4. Enhancing decision-making support by mining social media data with social network analysis;Social Network Analysis and Mining;2023-05-15

5. Temporal analysis and opinion dynamics of COVID-19 vaccination tweets using diverse feature engineering techniques;PeerJ Computer Science;2023-03-10
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