😊 AI Sentiment Analysis

A Machine Learning based Sentiment Analysis application built using Python, Scikit-learn, NLTK, and Streamlit.

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Features

• Data Cleaning
• Text Preprocessing
• TF-IDF Vectorization
• Naive Bayes
• Logistic Regression
• LSTM Comparison
• Streamlit Web Application

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Dataset

Twitter Entity Sentiment Analysis

https://www.kaggle.com/datasets/jp797498e/twitter-entity-sentiment-analysis

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Accuracy

Model	Accuracy
Naive Bayes	71.5%
Logistic Regression	74.38%
LSTM	36.7%

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Technologies

• Python
• Pandas
• NumPy
• Scikit-learn
• TensorFlow
• NLTK
• Streamlit
• Matplotlib
• Seaborn

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Folder Structure

Sentiment-Analysis-AI/

├── app/

├── data/

├── models/

├── notebooks/

├── outputs/

├── src/

├── README.md

├── requirements.txt

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Run

Create Virtual Environment

python -m venv venv

Activate

venv\Scripts\activate

Install

pip install -r requirements.txt

Run

streamlit run app/app.py

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Author

Sripriya