SENTIMENT ANALYSIS FOR SOCIAL MEDIA POSTS
This project aims to create a tool that can analyze the sentiment of social media posts. We'll focus on platforms like Twitter where people express their opinions, emotions, and experiences.
Project Goals: Build a sentiment analysis model. Collect and preprocess social media data. Evaluate the model's performance. Deploy the model for real-time analysis. Ensure scalability and efficiency. Project Components:
**Data Collection: ** Gather social media posts. Data Preprocessing: Clean the data and prepare it for analysis. Feature Extraction: Convert text into numerical features. Model Training: Train a sentiment analysis model. Model Evaluation: Assess the model's performance. Deployment: Create a user-friendly interface for real-time analysis. Tools and Technologies:
Python Libraries like NLTK, scikit-learn, TensorFlow Web Scraping (e.g., BeautifulSoup) APIs (e.g., Twitter API) Web Development (e.g., Flask)