{ "data_id": "43397", "name": "Airlines-Tweets-Sentiments", "exact_name": "Airlines-Tweets-Sentiments", "version": 1, "version_label": "v1.0", "description": "Context\nA dataset I used to classify tweets about my company.\nI took tweets and I classified them manually as positive, negative or neutral.\nContent\nThere are 4 columns :\nId : the tweed id, unique.\ntweettext : the tweet\ntweetlang : always EN, all tweets are in english\ntweetsentiment_value : 0 for negative, 1 for neutral, 2 for positive\nAcknowledgements\nDo what you want with it.\nInspiration\nThe aim of this dataset is to be able to determine if a tweet is positive or negative about an airline company.", "format": "arff", "uploader": "Dustin Carrion", "uploader_id": 30123, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-23 13:10:33", "update_comment": null, "last_update": "2022-03-23 13:10:33", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102222\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Airlines-Tweets-Sentiments", "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 comp " ], "weight": 5 }, "qualities": { "NumberOfInstances": 1097, "NumberOfFeatures": 4, "NumberOfClasses": null, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 1, "NumberOfSymbolicFeatures": 0, "Dimensionality": 0.0036463081130355514, "PercentageOfNumericFeatures": 25, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "AutoCorrelation": null, "PercentageOfMissingValues": 0 }, "tags": [ { "uploader": "38960", "tag": "Computer Systems" }, { "uploader": "38960", "tag": "Machine Learning" } ], "features": [ { "name": "_id", "index": "0", "type": "string", "distinct": "1097", "missing": "0" }, { "name": "tweet_text", "index": "1", "type": "string", "distinct": "1090", "missing": "0" }, { "name": "tweet_lang", "index": "2", "type": "string", "distinct": "1", "missing": "0" }, { "name": "tweet_sentiment_value", "index": "3", "type": "numeric", "distinct": "3", "missing": "0", "min": "0", "max": "2", "mean": "1", "stdev": "1" } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 0, "total_downloads": 0, "reach": 0, "reuse": 0, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 0 }