SentimentWeb: Surfing the Waves of Web Scraped Sentiments

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SentimentWeb: Surfing the Waves of Web Scraped Sentiments

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₹4,999.00

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₹4,999.00

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Abstract:

SentimentWeb is an AI-based system that collects and analyzes web-scraped text data to determine public sentiment. Using NLP and machine learning techniques, it classifies opinions as positive, negative, or neutral and identifies trends to help businesses and researchers make data-driven decisions.

Existing System

Manual analysis of customer reviews and social media comments.
Basic keyword-based sentiment analysis tools with limited accuracy.
Limited scalability and difficulty handling large volumes of unstructured web data.
Lack of real-time monitoring and deeper contextual understanding.

Proposed System (SentimentWeb)

Automated web scraping to collect large-scale online textual data.
Advanced NLP and machine learning models for accurate sentiment classification.
Context-aware analysis to detect positive, negative, and neutral sentiments.
Real-time trend monitoring and insightful visual reports for better decision-making.

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