Python Natural Language Processing by Jalaj Thanaki-P2P
Implement Machine Learning and Deep Learning techniques for efficient natural language processing
Get started with NLTK and implement NLP in your applications with ease
Understand and interpret human languages with the power of text analysis via Python
This book starts off by laying the foundation for Natural Language Processing and why Python is one of the best options to build an NLP-based expert system with advantages such as Community support, availability of frameworks and so on. Later it gives you a better understanding of available free forms of corpus and different types of dataset. After this, you will know how to choose a dataset for natural language processing applications and find the right NLP techniques to process sentences in datasets and understand their structure. You will also learn how to tokenize different parts of sentences and ways to analyze them.

Python Natural Language Processing by Jalaj Thanaki-P2P
English | 486 pages | ePUB | 9.7 MB
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