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Predict Sentiment of Airline Tweets Using ML Models

EasyChair Preprint no. 5228

8 pagesDate: March 30, 2021

Abstract

Many 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, logistic regression, Sentiment Analysis, XLNet

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:5228,
  author = {Rana Alqahtani},
  title = {Predict Sentiment of Airline Tweets Using ML Models},
  howpublished = {EasyChair Preprint no. 5228},

  year = {EasyChair, 2021}}
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