Download PDFOpen PDF in browserPredict Sentiment of Airline Tweets Using ML ModelsEasyChair Preprint 52288 pages•Date: March 29, 2021AbstractMany people like to share their opinion online about everything such as, social events, some products, or services of any industry. Sentiment analysis can be used to understand users’ attitude or sentiment through resources with opinion-rich data such as Twitter. This research aims to provide analysis of the content tweets text of users’ emotions in US airline company services and investigate the use of two Machin Learning (ML), and four Deep Learning (DL) methods to prediction of sentiment from US airline tweets. Keyphrases: BERT, CNN, Sentiment Analysis, XLNet, logistic regression
|