TY  - BOOK
AU  - Beysolow II,Taweh
TI  - Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing  
SN  - 9781484237335
U1  - 006.3 23
PY  - 2021///
PB  - Apress
KW  - Artificial intelligence
KW  - Big data
KW  - Computer programming
KW  - Open source software
KW  - Python (Computer program language)
KW  - Artificial Intelligence
KW  - Big Data
KW  - Open Source
KW  - Python
N1  - Chapter 1: What is Natural Language Processing? -- Chapter 2: Review of Machine Learning -- Chapter 3: Working with Raw Text -- Chapter 4: Word Embeddings and their application -- Chapter 5: Using Machine Learning with Natural Language Processing
N2  - Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment. You will: Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim Manipulate and preprocess raw text data in formats such as .txt and .pdf Strengthen your skills in data science by learning both the theory and the application of various algorithms
ER  -