AI-Based Sentiment Analysis | Python, Machine Learning, NLP Developed an AI-based Sentiment Analy...AI-Based Sentiment Analysis | Python, Machine Learning, NLP Developed an AI-based Sentiment Analy...
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AI-Based Sentiment Analysis | Python, Machine Learning, NLP
Developed an AI-based Sentiment Analysis system as a final-year academic project that analyzes text related to any subject or topic and classifies the sentiment as Positive, Negative, or Neutral.
The system uses Python, Machine Learning, and Natural Language Processing (NLP) techniques to preprocess text, extract relevant features, train classification models, and generate sentiment predictions. The project was designed to analyze different types of textual data such as reviews, social media content, comments, and articles.
Key Technologies: Python, Machine Learning, NLP, Pandas, Scikit-learn, NLTK, Flask.
Key Features:
Text preprocessing and cleaning
Sentiment classification
Machine learning model training
Positive/Negative/Neutral prediction
Data analysis and visualization
User-friendly interface for entering text and viewing results
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