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A morally captivating children's story based around the theme "Human Greed Bests All" Long ago in a well to do kingdom the king could not have a child with his queen. It was after a long penance that the king was finally blessed with a son. Tragedy struck the king as the most enlightened of the priests who had never made a wrong prediction, warned the king that his newborn would lead to the demise of the kingdom and should be done away with. Encapsulated by his love for his child, the king banished the priest from the kingdom instead, paying no heed to the priest's warning. With a priest who had never been wrong, a king engulfed in love for his child, and a prince that grew to be increasingly haughty and temperamental, dark clouds loomed over the kingdom. This is a universally thematic story of how greed bested all, the king, the prince, the people and how it all led to the doom of the kingdom now called the the "City of Gold"
Make NLP easy by building chatbots and models, and executing various NLP tasks to gain data-driven insights from raw text dataKey Features Get familiar with key natural language processing (NLP) concepts and terminology Explore the functionalities and features of popular NLP tools Learn how to use Python programming and third-party libraries to perform NLP tasksBook DescriptionDo you want to learn how to communicate with computer systems using Natural Language Processing (NLP) techniques, or make a machine understand human sentiments? Do you want to build applications like Siri, Alexa, or chatbots, even if you've never done it before?With The Natural Language Processing Workshop, you can expect to make consistent progress as a beginner, and get up to speed in an interactive way, with the help of hands-on activities and fun exercises.The book starts with an introduction to NLP. You'll study different approaches to NLP tasks, and perform exercises in Python to understand the process of preparing datasets for NLP models. Next, you'll use advanced NLP algorithms and visualization techniques to collect datasets from open websites, and to summarize and generate random text from a document. In the final chapters, you'll use NLP to create a chatbot that detects positive or negative sentiment in text documents such as movie reviews.By the end of this book, you'll be equipped with the essential NLP tools and techniques you need to solve common business problems that involve processing text.What you will learn Obtain, verify, clean and transform text data into a correct format for use Use methods such as tokenization and stemming for text extraction Develop a classifier to classify comments in Wikipedia articles Collect data from open websites with the help of web scraping Train a model to detect topics in a set of documents using topic modeling Discover techniques to represent text as word and document vectorsWho this book is forThis book is for beginner to mid-level data scientists, machine learning developers, and NLP enthusiasts. A basic understanding of machine learning and NLP is required to help you grasp the topics in this workshop more quickly.
Data Science with Python will help you get comfortable with using the Python environment for data science. You will learn all the libraries that a data scientist uses on a daily basis. By the end of this course, you will be able to take a large raw dataset, clean it, manipulate it, and run machine learning algorithms to obtain results that ...
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