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Airlines-Tweets-Sentiments - MaRDI portal

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Airlines-Tweets-Sentiments

From MaRDI portal
Dataset:6036500



OpenML43397MaRDI QIDQ6036500

OpenML dataset with id 43397

Author name not available (Why is that?)

Full work available at URL: https://api.openml.org/data/v1/download/22102222/Airlines-Tweets-Sentiments.arff

Upload date: 23 March 2022



Dataset Characteristics

Number of features: 4 (numeric: 1, symbolic: 0 and in total binary: 0 )
Number of instances: 1,097
Number of instances with missing values: 0
Number of missing values: 0

Description

Context A dataset I used to classify tweets about my company. I took tweets and I classified them manually as positive, negative or neutral. Content There are 4 columns : Id : the tweed id, unique. tweettext : the tweet tweetlang : always EN, all tweets are in english tweetsentiment_value : 0 for negative, 1 for neutral, 2 for positive Acknowledgements Do what you want with it. Inspiration The aim of this dataset is to be able to determine if a tweet is positive or negative about an airline company.






This page was built for dataset: Airlines-Tweets-Sentiments

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