Sentiment Analysis is a project that focuses on analyzing the sentiment of textual data, determining whether the expressed opinion in a piece of text is positive, negative, or neutral. This project employs natural language processing (NLP) techniques and machine learning algorithms to classify sentiments.
- Sentiment analysis on textual data.
- Utilizes machine learning models to classify sentiments.
- Supports input from various sources, such as text files or online content.
- Python 3.x
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Clone the repository:
git clone https://github.com/MahakArora/Sentimental-Analysis.git
For any questions or inquiries, please contact Mahak Arora at mahakarora1301@gmail.com.