--- 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 check at