Welcome to our comprehensive NLP tutorial! Here, you will learn the basics of natural language processing, a field that focuses on the interaction between computers and human (natural) languages. This tutorial is designed for beginners and will guide you through the essential concepts and techniques in NLP.
Table of Contents
- Introduction to NLP
- Language Models
- Text Preprocessing
- Tokenization
- Sentiment Analysis
- Further Reading
Introduction to NLP
Natural Language Processing (NLP) is a branch of artificial intelligence that deals with the interaction between computers and humans through natural language. This includes understanding, interpreting, and generating human language. The goal of NLP is to make computers more accessible and usable for humans.
Language Models
Language models are at the core of NLP. They are used to generate text, understand language, and perform various NLP tasks. One of the most popular language models is BERT, which stands for Bidirectional Encoder Representations from Transformers.
Text Preprocessing
Before you can perform NLP tasks on a text, you need to preprocess it. This involves cleaning the text, removing stop words, and converting it into a format that can be used by NLP models.
Tokenization
Tokenization is the process of breaking down a text into smaller units called tokens. These tokens can be words, phrases, or even characters. Tokenization is a crucial step in NLP, as it helps to analyze and understand the text.
Sentiment Analysis
Sentiment analysis is a task that determines the sentiment of a text, such as positive, negative, or neutral. It is widely used in social media analysis, customer feedback, and market research.