💬 Sentiment Analysis Tool (Simulated)

Sentiment analysis is one of the most common applications of natural language processing (NLP), used to identify and categorize opinions expressed in a piece of text. From product reviews to social media monitoring and customer support feedback, sentiment detection helps businesses understand the emotional tone behind messages. Tools like these simulate what actual NLP engines (e.g. BERT, VADER, GPT) would do — breaking down language patterns and predicting mood or polarity.

This tool is a mock simulator that reads the user’s input and runs basic rule-based checks to simulate how a machine learning classifier might behave. It’s a client-side alternative for testing sentiment-based UX flows without using a real model or connecting to any APIs. Whether you’re prototyping chatbot interfaces, building NLP dashboards, or teaching AI concepts, this simulator lets users interactively explore how sentiment is inferred from natural language input — all without code or cloud cost.