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Hands On Natural Language Processing (NLP) using Python: Learn Natural Language Processing ( NLP ) & Text Mining by creating text classifier, article summarizer, and many more.
In an era where vast amounts of text data are generated daily through various sources, harnessing the power of Natural Language Processing (NLP) has become a pivotal skill for professionals in fields ranging from data science and artificial intelligence to content creation and customer insights. Natural Language Processing empowers us to extract meaning, sentiment, and patterns from human language, unlocking the potential to understand and interact with text-based data in a more intelligent and automated manner.
This hands-on guide delves into the world of Natural Language Processing using Python, one of the most versatile and widely-used programming languages for data analysis and manipulation. Whether you're a seasoned data scientist looking to expand your toolkit or a newcomer intrigued by the possibilities of working with text data, this resource is designed to equip you with the practical skills and foundational knowledge needed to embark on your NLP journey.
Through a series of engaging examples, code snippets, and exercises, we'll explore the fundamental concepts of NLP, from text preprocessing and tokenization to more advanced techniques such as sentiment analysis, text classification, and named entity recognition. By the end of this guide, you'll have not only a deeper understanding of how NLP works but also the ability to apply these techniques to real-world tasks.
So, whether your goal is to analyze customer reviews, automate text-based workflows, or develop intelligent chatbots, this hands-on approach to Natural Language Processing using Python will provide you with the essential skills and insights to navigate the rich landscape of textual data and make meaningful contributions in the world of data-driven innovation.
This hands-on guide delves into the world of Natural Language Processing using Python, one of the most versatile and widely-used programming languages for data analysis and manipulation. Whether you're a seasoned data scientist looking to expand your toolkit or a newcomer intrigued by the possibilities of working with text data, this resource is designed to equip you with the practical skills and foundational knowledge needed to embark on your NLP journey.
Through a series of engaging examples, code snippets, and exercises, we'll explore the fundamental concepts of NLP, from text preprocessing and tokenization to more advanced techniques such as sentiment analysis, text classification, and named entity recognition. By the end of this guide, you'll have not only a deeper understanding of how NLP works but also the ability to apply these techniques to real-world tasks.
So, whether your goal is to analyze customer reviews, automate text-based workflows, or develop intelligent chatbots, this hands-on approach to Natural Language Processing using Python will provide you with the essential skills and insights to navigate the rich landscape of textual data and make meaningful contributions in the world of data-driven innovation.
101 pages, Kindle Edition
Published September 16, 2023
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