This is the code repository for Developing NLP Applications Using NLTK in Python [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
Have you ever faced challenges in understanding language and planning sentences while performing Natural Language Processing? Do you wish to overcome these problems and go beyond the basic techniques like bag-of-words? Well, now you can. This course is designed with advanced solutions that will take you from newbie to pro in performing Natural Language Processing with NLTK. In this course, you will come across various concepts covering natural language understanding, Natural Language Processing, and syntactic analysis. It consists of everything you need to efficiently use NLTK to implement text classification, identify parts of speech, tag words, and more. You will also learn how to analyze sentence structures and master syntactic and semantic analysis. By the end of this course, you will have all the knowledge you need to implement Natural Language Processing with Python.
- Explore the NLP techniques and understand what they can do to help you
- Turn text into numbers using the new NLP libraries in Python
- Perform different techniques to categorize text data
- Cluster similar text documents together using Gensim
- Accurately label new documents to get an accuracy score
- Extract meaning and insights from text data such as vector space models
- Use semantic parsing to break down the components of a sentence
To fully benefit from the coverage included in this course, you will need:
If you are a data scientist, data analyst, or data science professional who would like to expand their knowledge from traditional NLP techniques to state-of-the-art techniques in the application of NLP, this course is perfect for you. With some basic knowledge of natural language processing, you’ll get to refresh various concepts and develop more clarity when applying algorithms to chosen data.
This course has the following software requirements:
- Python 3.x or higher running on any Windows or Unix
- Processor of 2.0 GHz or higher
- Minimum 4GB RAM