Twitter Sentiment Analysis 🐦

A simple machine learning web app built with Python, spaCy, scikit-learn, and Streamlit to classify tweet sentiment as positive, negative, or neutral.

Features

• Clean Twitter-style UI with animated header
• Text preprocessing using spaCy (tokenization, lemmatization, stopword removal)
• TF-IDF vectorization
• Logistic Regression sentiment classifier
• Streamlit web interface for easy interaction

Tech Stack

• Python 3.11
• Streamlit
• spaCy (en_core_web_sm)
• scikit-learn
• pandas, numpy
• joblib

Setup

git clone https://github.com/YOUR-USERNAME/twitter-sentiment-analysis.git
cd twitter-sentiment-analysis

python -m venv venv
venv\Scripts\activate   # on Windows

pip install -r requirements.txt
python -m spacy download en_core_web_sm
Run the app
streamlit run app.py
##Example tweets
I'm so happy with this update,everything works perfectly now -positive
I'm extremely disappoined, this is unacceptable.-negative
It's good nothing special.- neutral