Sentiment Analysis Using VADER and Logistic Regression Techniques
Author:
Affiliation:
1. Sree Vidyanikethan Engineering College,Computer Science and Systems Engineering,Tirupati,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10099476/10100336/10100565.pdf?arnumber=10100565
Reference20 articles.
1. Social media sentiment analysis based on COVID-19
2. COVID-19 Related Sentiment Analysis Using State-of-the-Art Machine Learning and Deep Learning Techniques
3. Sentiment, Count and Cases: Analysis of Twitter discussions during COVID-19 Pandemic
4. Sentiment analysis of tweets about COVID-19 disease during pandemic
5. Identification of Potential Cyber Bullying Tweets using Hybrid Approach in Sentiment Analysis
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1. Sentiment analysis of global news on environmental issues: insights into public perception and its impact on low-carbon economy transition;Frontiers in Environmental Science;2024-06-04
2. Sentiment Analysis using VADER: Unveiling Customer Sentiment and Predicting Buying Behavior in the Airline Industry;2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2024-02-16
3. Twitter Sentiment Analysis and Emotion Detection Using NLTK and TextBlob;2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM);2023-12-12
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