- eBook:Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing
- Author:Taweh Beysolow II
- Edition:1 edition
- Data:September 12, 2018
- Pages:165 pages
- Format:PDF, ePUB
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.
What You Will Learn
- 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
You should be at least a beginner in ML to get the most out of this text, but you needn’t feel that you need be an expert to understand the content.
Chapter 2: Review of Deep Learning
Chapter 3: Working with Raw Text
Chapter 4: Topic Modeling and Word Embeddings
Chapter 5: Text Generation, Machine Translation, and Other Recurrent Language Modeling Tasks