Welcome to our comprehensive course on Natural Language Processing (NLP) using Python. NLP is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. This course will guide you through the basics of NLP and help you build powerful applications using Python.
Course Outline
- Introduction to Natural Language Processing
- Text Preprocessing
- Tokenization
- Text Classification
- Sentiment Analysis
- Named Entity Recognition
- Part-of-Speech Tagging
- Language Modeling
- Chatbots and Virtual Assistants
Prerequisites
- Basic knowledge of Python programming
- Familiarity with basic machine learning concepts
Course Content
This course covers everything you need to know to get started with NLP using Python. We will start by introducing you to the field of NLP and its applications. Then, we will dive into the technical details of various NLP tasks, such as text preprocessing, tokenization, and text classification.
Text Preprocessing
Text preprocessing is the first step in most NLP tasks. It involves cleaning and preparing the text data for further processing. This includes tasks like removing stop words, stemming, and lemmatization.
Tokenization
Tokenization is the process of breaking down a text into individual words or tokens. This is essential for most NLP tasks, as it allows us to analyze the text at a word level.
Text Classification
Text classification is a common NLP task that involves assigning a category to a piece of text. This can be used for tasks like spam detection, sentiment analysis, and topic classification.
Sentiment Analysis
Sentiment analysis is the process of determining the sentiment or emotion behind a piece of text. This is useful for understanding customer feedback, social media trends, and more.
Named Entity Recognition
Named Entity Recognition (NER) is the process of identifying and classifying named entities in text. Named entities can be people, places, organizations, and more.
Part-of-Speech Tagging
Part-of-Speech (POS) tagging is the process of assigning a grammatical label to each word in a text. This helps us understand the structure of the text and its meaning.
Language Modeling
Language modeling is the process of predicting the next word in a sequence of text. This is used in applications like chatbots and text generation.
Chatbots and Virtual Assistants
Chatbots and virtual assistants are becoming increasingly popular in today's world. This course will teach you how to build your own chatbot using Python and NLP libraries.
Learn More
If you are interested in learning more about NLP and Python, check out our advanced course on Advanced Natural Language Processing.