Sentiment Classification System of Twitter Data for US Airline Service Analysis
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8376143/8377622/08377739.pdf?arnumber=8377739
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1. Improving Classification Accuracy With Preprocessing Techniques For Sentiment Analysis;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10
2. Advanced Natural Language Processing Techniques for Efficient Sentiment Analysis of US Airline Twitter Data: A High-Performance Framework for Extracting Insights from Tweets;2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT);2024-05-02
3. Geographical Tweets Based Current Affairs Prediction Using Hybrid Features;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-03-14
4. Data Augmentation for Sentiment Analysis Enhancement: A Comparative Study;2024 6th International Conference on Computing and Informatics (ICCI);2024-03-06
5. Comparative analysis of changes in passenger's perception for airline companies' service quality before and during COVID-19 using topic modeling;Journal of Air Transport Management;2024-03
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