Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms. Key Features Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and Keras Hands-on text analysis with Python, featuring natural language processing and computational linguistics algorithms Learn deep learning techniques for text analysis Book Description Modern text analysis is now very accessible using Python and open source tools, so discover how you can now perform modern text analysis in this era of textual data. This book shows you how to use natural language processing, and computational linguistics algorithms, to make inferences and gain insights about data you have. These algorithms are based on statistical machine learning and artificial intelligence techniques. The tools to work with these algorithms are available to you right now - with Python, and tools like Gensim and spaCy. You'll start by learning about data cleaning, and then how to perform computational linguistics from first concepts. You're then ready to explore the more sophisticated areas of statistical NLP and deep learning using Python, with realistic language and text samples. You'll learn to tag, parse, and model text using the best tools. You'll gain hands-on knowledge of the best frameworks to use, and you'll know when to choose a tool like Gensim for topic models, and when to work with Keras for deep learning. This book balances theory and practical hands-on examples, so you can learn about and conduct your own natural language processing projects and computational linguistics. You'll discover the rich ecosystem of Python tools you have available to conduct NLP - and enter the interesting world of modern text analysis. What you will learn Why text analysis is important in our modern age Understand NLP terminology and get to know the Python tools and datasets Learn how to pre-process and clean textual data Convert textual data into vector space representations Using spaCy to process text Train your own NLP models for computational linguistics Use statistical learning and Topic Modeling algorithms for text, using Gensim and scikit-learn Employ deep learning techniques for text analysis using Keras Who this book is for This book is for you if you want to dive in, hands-first, into the interesting world of text analysis and NLP, and you're ready to work with the rich Python ecosystem of tools and datasets waiting for you!

Your garbage is going places you’d never imagine. What used to be sent to the local dump now may move hundreds of miles by truck and barge to its final resting place. Virtually all forms of pollution migrate, subjected to natural forces such as wind and water currents. The movement of garbage, however, is under human control. Its patterns of migration reveal much about power sharing among state, local, and national institutions, about the Constitution’s protection of trash transport as a commercial activity, and about competing notions of social fairness. In Garbage In, Garbage Out, Vivian Thomson looks at Virginia’s status as the second-largest importer of trash in the United States and uses it as a touchstone for exploring the many controversies around trash generation and disposal. Political conflicts over waste management have been felt at all levels of government. Local governments who want to manage their own trash have fought other local governments hosting huge landfills that depend on trash generated hundreds of miles away. State governments have tried to avoid becoming the dumping grounds for cities hundreds of miles away. The constitutional questions raised in these battles have kept interstate trash transport on Congress’s agenda since the early 1990s. Whether the resulting legislative proposals actually address our most critical garbage-related problems, however, remains in question. Thomson sheds much-needed light on these problems. Within the context of increased interstate trash transport and the trend toward privatization of waste management, she examines the garbage issue from a number of perspectives--including the links between environmental justice and trash management, a critical evaluation of the theoretical and empirical relationship between economic growth and environmental improvement, and highlighting the ways in which waste management practices in the US differ from those in the European Union and Japan. Thomson then provides specific, substantive recommendations for our own policymakers. Everything eventually becomes trash. As we explore the long, often surprising, routes our garbage takes, we begin to understand that it is something more than a mere nuisance that regularly "disappears" from our curbside. Rather, trash generation and management reflect patterns of consumption, political choices over whether garbage is primarily pollution or commerce, the social distribution of environmental risk, and how our daily lives compare with those of our counterparts in other industrialized nations.

Ever-expanding landfills, ocean gyres filled with floating plastic mush, endangered wildlife. Our garbage has become a massive and exponentially growing problem in modern society. Eco-entrepreneur Tom Szaky explores why this crisis exists and explains how can we solve it by eliminating the very idea of garbage. To outsmart waste, he says, we first have to understand it, then change how we create it, and finally rethink what we do with it. By mimicking nature and focusing on the value inherent in our by-products, we can transform the waste we can't avoid creating from useless trash to a useful resource. Szaky demonstrates that there is value in every kind of garbage, from used chewing gum to juice pouches to cigarette butts. After reading this mind-expanding book, you will never think about garbage the same way again.

On Garbage is the first book to examine the detritus of Western culture in full range—not only material waste and ruin, but also residual or "broken" knowledge and the lingering remainders of cultural thought systems.

“A galvanizing exposé” of America’s trash problem from plastic in the ocean to “wasteful packaging, bogus recycling, and flawed landfills and incinerators” (Booklist, starred review). Eat a take-out meal, buy a pair of shoes, or read a newspaper, and you’re soon faced with a bewildering amount of garbage. The United States is the planet’s number-one producer of trash. Each American throws out 4.5 pounds daily. But garbage is also a global problem. Today, the Pacific Ocean contains six times more plastic waste than zooplankton. How did we end up with this much rubbish, and where does it all go? Journalist and filmmaker Heather Rogers answers these questions by taking readers on a grisly and fascinating tour through the underworld of garbage. Gone Tomorrow excavates the history of rubbish handling from the nineteenth century to the present, pinpointing the roots of today’s waste-addicted society. With a “lively authorial voice,” Rogers draws connections between modern industrial production, consumer culture, and our throwaway lifestyle (New York Press). She also investigates the politics of recycling and the export of trash to poor countries, while offering a potent argument for change. “A clear-thinking and peppery writer, Rogers presents a galvanizing exposé of how we became the planet’s trash monsters. . . . [Gone Tomorrow] details everything that is wrong with today’s wasteful packaging, bogus recycling, and flawed landfills and incinerators. . . . Rogers exhibits black-belt precision.” —Booklist, starred review

Turning Simple Disciplines into Massive Success & Happiness