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license:
  - cc-by-nc-sa-4.0
converted_from: kaggle
kaggle_id: crowdflower/twitter-airline-sentiment

Dataset Card for Twitter US Airline Sentiment

Table of Contents

Dataset Description

Dataset Summary

This data originally came from Crowdflower's Data for Everyone library.

As the original source says,

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").

The data we're providing on Kaggle is a slightly reformatted version of the original source. It includes both a CSV file and SQLite database. The code that does these transformations is available on GitHub

For example, it contains whether the sentiment of the tweets in this set was positive, neutral, or negative for six US airlines:

airline sentiment graph

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

This dataset was shared by @crowdflower

Licensing Information

The license for this dataset is cc-by-nc-sa-4.0

Citation Information

[More Information Needed]

Contributions

[More Information Needed]