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
- dataset.csv – tweets data
What’s included
- Anonymized tweet text
- Conversation linkage via
root_idandparent_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.nullwhen the tweet is not a reply.- Threads form trees; following
parent_idrepeatedly 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