Published 2017 | Version v2

Customer Support on Twitter

  • 1. Thought Vector

Description

Description

The Customer Support on Twitter dataset is a large, modern corpus of tweets and replies to aid innovation in natural language understanding and conversational models, and for study of modern customer support practices and impact. The dataset includes replies of companies like Apple, Amazon, Uber, Delta, Spotify and others.

Files

sample.csv__100lines.csv

Files (17.3 kB)

Name Size Download all
md5:5536c0e077d9e069c06d27a41cdd1ceb
17.3 kB Preview Download

Variables

Name Description
tweet_id A unique, anonymized ID for the Tweet. Referenced by response_tweet_id and in_response_to_tweet_id
author_id A unique, anonymized user ID. @s in the dataset have been replaced with their associated anonymized user ID.
inbound Whether the tweet is "inbound" to a company doing customer support on Twitter. This feature is useful when re-organizing data for training conversational models.
created_at Date and time when the tweet was sent
text Tweet content. Sensitive information like phone numbers and email addresses are replaced with mask values like __email__.
response_tweet_id IDs of tweets that are responses to this tweet, comma-separated.
in_response_to_tweet_id ID of the tweet this tweet is in response to, if any.

Details

Resource type Open dataset
Title Customer Support on Twitter
Creators
  • Axelbrooke, Stuart1
  • Research Fields Business Administration Economics Psychology Sociology Political Science Economic & Social History Communication Sciences Educational Research Other
    Size 0.52 GB
    Formats Comma-separated values (CSV) (.csv)
    License(s) Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
    External Resource https://www.kaggle.com/thoughtvector/customer-support-on-twitter
    Companies Twitter
    Dates of collection March 12, 2017