Sentiment Analysis for text with Logistic Regression 💻😀☹️

Implemented a Logistic Regression algorithm to classify text data (e.g. tweets and posts) based on sentiment analysis (positive or negative)
The dataset used is taken from from nltk.corpus import twitter_samples

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HOW

🧑‍💻 Python

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USAGE

python main.py

Runs the main script

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EXAMPLEs

• "Today is beautiful day!! :)" prediction -> 1 (positive)
• "I am hopeless for the next week :(" prediction -> 0 (negative)
• "That decision was a shame!" prediction -> 0 (negative)

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Confusion Matrix

Accuracy : 99.7%
Total False Positive/Negative Rate : 0.3%
Here is the confusion matrix used to define thethe performance of the classification algorithm