# Explain Sentiment

Generated using ChatGPT3.5 on Malaysian tweets, notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/sentiment/chatgpt3.5-sentiment

- [sentiment.jsonl](sentiment.jsonl), 162902 rows, 86 MB
  
## Example data

```python
{'sentiment': 'negative',
 'explain_en': 'The text is negative because it contains an angry tone and disrespectful language towards someone named Amzar.',
 'explain_ms': 'Teks ini negatif kerana mengandungi nada marah dan bahasa yang tidak sopan terhadap seseorang yang bernama Amzar.',
 'text': 'BABUN PUNYA AMZAR. TAK RETI HORMAT ORANG KEEEEEE???!!!!'}
```
language:ms region:us
{"language": ["ms"], "pretty_name": "chatgpt-malay-explain-sentiment"}
TAGS
#language-Malay (macrolanguage) #region-us 

# Explain Sentiment

Generated using ChatGPT3.5 on Malaysian tweets, notebooks at URL

- URL, 162902 rows, 86 MB
  
## Example data


# Explain Sentiment

Generated using ChatGPT3.5 on Malaysian tweets, notebooks at URL

- URL, 162902 rows, 86 MB ## Example data
TAGS
#language-Malay (macrolanguage) #region-us 
 # Explain Sentiment

Generated using ChatGPT3.5 on Malaysian tweets, notebooks at URL

- URL, 162902 rows, 86 MB ## Example data
passage: TAGS
#language-Malay (macrolanguage) #region-us 
# Explain Sentiment

Generated using ChatGPT3.5 on Malaysian tweets, notebooks at URL

- URL, 162902 rows, 86 MB## Example data