SENTIMENT ANALYSIS THE CASE OF AIRLINE RATING WITH TWITTER PREDICTION

Abstract

The aims of project build model for airlines that as sentiment analysis on customer views of Gender age feedback Sentiment Analysis of airlines tweet.

To understand the consumer's voice, the Twitter airline data analysis plays a vital role. Using sentiment analysis on the tweets, one can recognize positive, negative or neutral tweets. This kind of sentiment analysis makes airline to understand customer feedback and incorporate in a constructive manner.