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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

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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.

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README

        

[![Typing SVG](https://readme-typing-svg.herokuapp.com?font=Fira+Code&weight=600&size=40&pause=1000&color=1FF77A&center=true&vCenter=true&width=750&height=60&lines=SENTIMENT+ANALYSIS+LEARNING...)](https://git.io/typing-svg)

## 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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