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metadata
license: cc-by-nc-4.0
language:
  - en
tags:
  - twitter
  - nlp
  - social-media
  - english
  - sentiment
pretty_name: Twitter Sentiment Threads

Twitter Sentiment Dataset

Sample English-only tweet sentiment dataset. Each row represents a single tweet with anonymized text and conversation structure.

This is a sample dataset. To access the full version or request any custom dataset tailored to your needs, contact DataHive at contact@datahive.ai.

Dataset Description

  • Access: Free sample dataset
  • Curated by: https://datahive.ai
  • Language(s) (NLP): English
  • License: Creative Commons Non-Commercial 4.0 (CC BY-NC 4.0)

Files Included

  1. dataset.csv – tweets data

What’s included

  • Anonymized tweet text
  • Conversation linkage via root_id and parent_id
  • 3-class sentiment label (positive, negative, neutral); for replies, sentiment is defined using both the tweet and its thread context.

Columns

Column Type Description
tweet_id string Unique tweet identifier
parent_id string (nullable) Parent tweet ID in the thread
root_id string Root tweet ID of the conversation
text string Anonymized tweet text
label string Sentiment: negative, neutral, or positive

Conversation structure

  • root_id: ID of the first tweet in the conversation (the root). For a root tweet, root_id == tweet_id.
  • parent_id: ID of the tweet this one replies to. null when the tweet is not a reply.
  • Threads form trees; following parent_id repeatedly walks from a reply up to the root.

Dataset Stats

  • Total tweets: 6,195
  • Unique threads: 2,660
  • Language: English only

Anonymization Example

  • Original: Hey @jack check https://example.com at 2:30pm! 😊
  • Masked: Hey <USER> check <URL> at <TIME>!

Source Data

Data was collected from publicly accessible Twitter content that did not require paywalls or proprietary access. Only content available in the public domain was used, and all data is provided for research and trial purposes under CC BY-NC 4.0 licensing.

Contact

For questions or takedown requests: contact@datahive.ai