Beginner · NLP

Sentiment Analysis

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. The task of determining the emotional tone or opinion expressed in text — positive, negative, or neutral.

Technical Definition

The task of determining the emotional tone or opinion expressed in text — positive, negative, or neutral.

How it works

Sentiment analysis classifies text by emotional polarity. Modern approaches fine-tune pre-trained language models on labeled review data. Aspect-based sentiment analysis identifies sentiment toward specific features. Applications span product reviews, social media monitoring, and market research.

Related Concepts

• Large Language Model (LLM) — A massive neural network trained on vast text corpora to understand and generate human language with remarkable fluency.
• Fine-Tuning — Adapting a pre-trained model to a specific task by continuing training on a smaller, task-specific dataset.
• BERT — A bidirectional Transformer model pre-trained on masked language modeling, revolutionizing NLP benchmarks across the board.