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add hate speech detection readme

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Frank Xu
2025-02-11 22:35:26 -05:00
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lab01/README.md
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@@ -51,8 +51,29 @@ count hate_speech offensive_language neither class tweet
### Key Columns
- `tweet`: The actual text of the tweet.
- `class`: The label indicating whether the tweet is hate speech (`0`), offensive language (`1`), or neither (`2`).
Each row in the dataset contains the following information:
| Column | Description |
| -------------------- | --------------------------------------------------------------------------------------------------------------------------- |
| `count` | The number of times the tweet appears in the dataset. |
| `hate_speech` | The number of annotators who labeled the tweet as hate speech. |
| `offensive_language` | The number of annotators who labeled the tweet as offensive language. |
| `neither` | The number of annotators who labeled the tweet as neither hate speech nor offensive language. |
| `class` | The final label assigned to the tweet based on the majority vote (`0`: Hate Speech, `1`: Offensive Language, `2`: Neither). |
| `tweet` | The actual text of the tweet. |
#### Example:
For the tweet:
```
"@user shut up you moron"
```
- hate_speech = 0: No one labeled it as hate speech.
- offensive_language = 4: Four people labeled it as offensive language.
- neither = 0: No one labeled it as neutral.
- class = 1: The final label is "Offensive Language."
---

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lab01/social_media_threat_detection.ipynb
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