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Dataset·AI & Data·csv
Beer acquisition tweet sentiment corpus
Tweet corpus around beer-brand acquisition events, with text, source, event timing, acquisition period, URL flag, and date fields.
Download csv · 4.2 MBRows
19,687
Columns
14
Format
csv
Size
4.2 MB
Grain
One row per tweet.
Teaching uses
- Teach sentiment and emotion analysis around acquisition events.
- Compare pre/post acquisition brand reaction.
- Use LLM rating workflows to go beyond positive/negative sentiment.
Columns 14
| Name | Type | Null | Unique | Examples |
|---|---|---|---|---|
| id | float64 | 0% | 15,344 | 8.65847e+16, 8.65844e+16, 8.65792e+16 |
| author_id | int64 | 0% | 11,588 | 22406092, 15830453, 112726797 |
| source | str | <0.1% | 371 | Seesmic, Twitter for iPhone, Twitter for BlackBerry® |
| text | str | 0% | 18,068 | Swinging by paddy long for a goose island tap take over. Then maybe revolution, Goose Island just isn't good. Not even nostalgia can save it., Sitting in Prospect Park, drinking Goose Island IPA and listening to live Bluegrass. #excellent |
| created_at | str | 0% | 19,032 | 2011-06-30T23:59:34.000Z, 2011-06-30T23:58:29.000Z, 2011-06-30T23:37:38.000Z |
| in_reply_to_user_id | float64 | 0.9% | 2,205 | 18450646.0, 17133211.0, 238708174.0 |
| date | str | 0% | 181 | 6/30/2011, 6/29/2011, 6/28/2011 |
| date 2 | str | 0% | 3 | 3/30/2011, 3/28/2011, 1/7/2011 |
| Acquisition | str | 0% | 3 | Post, Acquisition, Pre |
| year | int64 | 0% | 1 | 2011 |
| month | int64 | 0% | 6 | 6, 5, 4 |
| event | str | 0% | 1 | post |
| contains_url | int64 | 0% | 2 | 0, 1 |
| uuid | int64 | 0% | 19,687 | 1, 2, 3 |
Source context: unsupervised/gabriel-technical-guide.md · inferred from columns and local guide