Python Natural Language Processing Projects
Natural Language Processing is the application of computational techniques to the analysis and synthesis of natural language and speech. This book will test your expertise by bringing the best of machine learning and deep learning techniques to build full-fledged NLP projects.
Each project will grow in complexity and showcase various methodologies, optimizing tips, tricks and more. You will start with projects covering traditional NLP issues like sentiment analysis, segmentation and topic extraction. Moving on, you will learn about the clustering of data using various Python libraries like Gensim, NLTK, and scikit-learn. Then, you will learn how to build an advanced search recommendation engine and product categorization system that provides enhanced results over traditional models. You will use modern Python libraries to build projects like chatbots, automated text generation system and more. You will implement advanced deep learning concepts such as hybrid NLP techniques, transfer learning, Bi-directional LSTMs to build advanced NLP models.
By the end of this book, you will be well versed with the required expertise to solve common and also unique challenges faced in NLP domain. You will gain the required expertise to use your skills to contribute to online research work and competitions.
|Course Length||9 hours 23 minutes|
|Date Of Publication||28 Aug 2020|