https://github.com/mgunawardhana/sentiment-analysis-learning
Sentiment analysis uses natural language processing and machine learning techniques to analyze the emotional tone or sentiment behind a piece of text. It involves identifying and categorizing opinions expressed in a text as positive, negative, or neutral.
https://github.com/mgunawardhana/sentiment-analysis-learning
anaconda binary-classification jupiter-notebook kaggle natural-language negative positive sentimental-analysis tweets
Last synced: 2 months ago
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Sentiment analysis uses natural language processing and machine learning techniques to analyze the emotional tone or sentiment behind a piece of text. It involves identifying and categorizing opinions expressed in a text as positive, negative, or neutral.
- Host: GitHub
- URL: https://github.com/mgunawardhana/sentiment-analysis-learning
- Owner: mgunawardhana
- Created: 2025-03-15T15:57:23.000Z (3 months ago)
- Default Branch: master
- Last Pushed: 2025-03-16T10:04:19.000Z (2 months ago)
- Last Synced: 2025-03-16T10:19:44.658Z (2 months ago)
- Topics: anaconda, binary-classification, jupiter-notebook, kaggle, natural-language, negative, positive, sentimental-analysis, tweets
- Language: Python
- Homepage:
- Size: 42.3 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
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## ꜱᴇᴛᴜᴘ ᴋᴀɢɢʟᴇ ᴀᴜᴛʜ
```python
import os
os.environ['KAGGLE_USERNAME'] = data['username']
os.environ['KAGGLE_KEY'] = data['key']from kaggle.api.kaggle_api_extended import KaggleApi
api = KaggleApi()
api.authenticate()
```### (★) ɪꜰ ʏᴏᴜ ʜᴀᴠᴇ ᴀɴʏ ʙᴜɢꜱ ᴏʀ ɪꜱꜱᴜᴇꜱ , ɪꜰ ʏᴏᴜ ᴡᴀɴᴛ ᴛᴏ ᴇxᴘʟᴀɪɴ ᴍʏ ᴄᴏᴅᴇ ᴏʀ ɪꜰ ʏᴏᴜ ɴᴇᴇᴅ ʜᴇʟᴘ ᴛᴏ ᴅᴇᴠᴇʟᴏᴘ ʏᴏᴜʀ ᴘʀᴏᴊᴇᴄᴛꜱ ᴘʟᴇᴀꜱᴇ ᴄᴏɴᴛᴀᴄᴛ ᴍᴇ ᴏɴ (★) 👇
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## © 2025 mGunawardhana. ᴀʟʟ ʀɪɢʜᴛꜱ ʀᴇꜱᴇʀᴠᴇᴅ.