# Airbus Finance ML Workshop — Data

来源：https://www.kaggle.com/competitions/airbus-finance-ml-workshop/data

采集时间：2026-10-20T01:57:37Z

The Twitter airline dataset is a collection of comments posted by Twitter users about their travel experiences with different airlines. The dataset is composed of a total of 5,313 tweets that were gathered over a period of six months.

Each tweet has been labelled as either positive or negative based on the sentiment of the tweet towards the airline. 

## The data has been split into training (3,963 rows) and testing (1,350 rows) datasets

*   **airline_tweets_train.csv** - The training set, we will use this dataset to train our models
*   **airline_tweets_test.csv** - The test set, we will evaluate and rank teams with this dataset

## Columns

*   `Id` - Numeric Id of the tweet
*   `airline_sentiment` - Sentiment of the tweet, 'positive' 'negative' or 'neutral'
*   `airline` - Name of the airline referenced in the tweet
*   `text` - Content of the tweet
*   `retweet_count` - Number of retweets performed on tweet
*   `user_timezone` - Timezone of the user posting tweet