WebTwitter US Airline Sentiment Analysis. Here I present analysis of sentiments towards US Airlines as expressed in tweets on twitter. Data set can be found here on kaggle. ... *Scroll down to read more. Data. 14640 tweets from 7700 users were analyzed. Twitter data was scraped from February of 2015 and contributors were asked to first classify ... WebEvery airline has more negative tweets than either neutral or positive tweets, with Virgin America receiving the most balanced spread of positive, neutral and negative of all the US airlines.

Sentiment Classification System of Twitter Data for US Airline Service

WebTwitter US Airline Sentiment A sentiment analysis job about the problems of each major U.S. airline. Twitter data was scraped from February of 2015 and contributors were asked to first classify positive, negative, and neutral tweets, followed by categorizing negative reasons (such as "late flight" or "rude service"). WebJul 21, 2024 · Methods: A data set of 16,713,238 English tweets related to COVID-19 vaccines was collected, covering the period from March 1, 2024, to July 31, 2024. We … ets geoffroy parthenay

University of Westminster (@UniWestminster) / Twitter

WebJun 12, 2024 · The twitter data was scraped from February 2015 for 2 weeks and contains over 14K tweets and their sentiment (positive, neutral, or negative) regarding 6 major airlines in the US. Data Analysis WebJul 15, 2024 · Twitter Airline Sentiment. This Twitter dataset focuses on tweets relating to major US airlines, and is classified into positive, neutral, and negative sentiment. 21. COVID-19 Tweets. Yet another Twitter dataset that pertains to COVID-19, this dataset contains almost 1.5 billion tweets across the globe. 22. 2016 Presidential Election WebExplore and run machine learning code with Kaggle Notebooks Using data from Twitter US Airline Sentiment ets from ipoh to kuala lumpur