About this document
Sentiment Analysis of Airline Tweets by Aravind Bairi is a document available to read on EtoBox.
1) The document discusses classifying tweets about US airline companies based on sentiment using machine learning classifiers. 2) It proposes a voting classifier using logistic regression and stochastic gradient descent classification and evaluates its performance against other classifiers. 3) It investigates the impact of feature extraction techniques like term frequency, term frequency-inverse document frequency, and word2vec on classification accuracy.
- Author
- Aravind Bairi
- Language
- EN