OpenML
Twitter-Sentiment-Analysis

Twitter-Sentiment-Analysis

active ARFF Database: Open Database, Contents: Database Contents Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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  • Computer Systems Machine Learning
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Context There's a story behind every dataset and here's your opportunity to share yours. Content What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research. Inspiration Your data will be in front of the world's largest data science community. What questions do you want to see answered?

15 features

tweet_idnumeric14485 unique values
0 missing
airline_sentimentstring3 unique values
0 missing
airline_sentiment_confidencenumeric1023 unique values
0 missing
negativereasonstring10 unique values
5462 missing
negativereason_confidencenumeric1410 unique values
4118 missing
airlinestring6 unique values
0 missing
airline_sentiment_goldstring3 unique values
14600 missing
namestring7701 unique values
0 missing
negativereason_goldstring13 unique values
14608 missing
retweet_countnumeric18 unique values
0 missing
textstring14427 unique values
0 missing
tweet_coordstring832 unique values
13621 missing
tweet_createdstring14247 unique values
0 missing
tweet_locationstring3070 unique values
4744 missing
user_timezonestring85 unique values
4820 missing

19 properties

14640
Number of instances (rows) of the dataset.
15
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
61973
Number of missing values in the dataset.
14638
Number of instances with at least one value missing.
4
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
26.67
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
99.99
Percentage of instances having missing values.
Average class difference between consecutive instances.
28.22
Percentage of missing values.

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