Abstract
SentimentWeb is an AI-based system that collects web-scraped text data and analyzes it using NLP and machine learning to classify sentiments as positive, negative, or neutral. It helps identify trends and public opinions for better decision-making.
Existing System
Traditional methods rely on manual analysis or basic keyword-based tools, which lack contextual understanding, accuracy, and scalability for large real-time data.
Proposed System
The proposed system automates web data collection and uses advanced NLP models for accurate, context-aware sentiment analysis with real-time insights and trend detection.
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english
