docs/01_project_definition/01_problem.md

Project Definition - Problem

Motivation:
In the current digital marketplace, customer reviews serve as a primary decision-making driver for consumers and a critical feedback loop for businesses. However, the sheer velocity and volume of incoming data render manual analysis impossible. Consequently, automated Sentiment Analysis has become a fundamental necessity for extracting public opinion at scale.

Problem Definition:
We are looking at Amazon product reviews to classify if sentiment is positive vs negative within Amazon product reviews. The core objective is to predict the polarity of a review based solely on its textual content.

Technical Challenge:
Reviews are unstructured text data. They contain slang, typos, varying lengths, and mixed signals. We need a way to mathematically represent this text and classify its polarity (positive vs. negative) accurately and at scale.