Description Implement Natural Language Processing applications with Python Using a problem-solution approach.
He is currently the senior Data scientist at Sapient Razorfish\'s core Data science team where he is part of strategy and transformation interventions through AI and works on various Machine lea.
Akshay has a rich experience of building and scaling AI and Machine Learning businesses and creating significant client impact.
About the Author Akshay Kulkarni is an AI and Machine Learning evangelist.
Identify Machine Learning and Deep Learning techniques for Natural Language Processing and Natural Language generation problems Who This Book Is For Data scientists who want to refresh and learn various concepts of Natural Language Processing through coding exercises.
What You Will Learn Apply NLP techniques Using Python libraries such as NLTK, Text Blob, spa Cy, Stanford Core NLP, and many more Implement the concepts of information retrieval, Text summarization, sentiment analysis, and other advanced Natural Language Processing techniques.
By Using the recipes in this book, you will have a toolbox of solutions to apply to your own projects in the real world, making your development time quicker and more efficient.
You will also learn various applications of Machine Learning and Deep Learning in Natural Language processing.
You\'ll see practical applications of the semantic as well as syntactic analysis of text, as well as complex Natural Language Processing approaches that involve Text normalization, advanced preprocessing, POS tagging, and sentiment analysis.
Natural Language Processing Recipes starts by offering solutions for cleaning and preProcessing Text Data and ways to analyze it with advanced algorithms.
This book has numerous coding exercises that will help you to quickly deploy Natural Language Processing techniques, such as Text classification, parts of speech identification, topic modeling, Text summarization, Text generation, entity extraction, and sentiment analysis.
Description Implement Natural Language Processing applications with Python Using a problem-solution approach
