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Author: Allison Margaret Bigelow
Publisher: UNC Press Books
ISBN: 1469654393
Category : History
Languages : en
Pages : 377
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Book Description
Mineral wealth from the Americas underwrote and undergirded European colonization of the New World; American gold and silver enriched Spain, funded the slave trade, and spurred Spain's northern European competitors to become Atlantic powers. Building upon works that have narrated this global history of American mining in economic and labor terms, Mining Language is the first book-length study of the technical and scientific vocabularies that miners developed in the sixteenth and seventeenth centuries as they engaged with metallic materials. This language-centric focus enables Allison Bigelow to document the crucial intellectual contributions Indigenous and African miners made to the very engine of European colonialism. By carefully parsing the writings of well-known figures such as Cristobal Colon and Gonzalo Fernandez de Oviedo y Valdes and lesser-known writers such Alvaro Alonso Barba, a Spanish priest who spent most of his life in the Andes, Bigelow uncovers the ways in which Indigenous and African metallurgists aided or resisted imperial mining endeavors, shaped critical scientific practices, and offered imaginative visions of metalwork. Her creative linguistic and visual analyses of archival fragments, images, and texts in languages as diverse as Spanish and Quechua also allow her to reconstruct the processes that led to the silencing of these voices in European print culture.
Author: Allison Margaret Bigelow
Publisher: UNC Press Books
ISBN: 1469654393
Category : History
Languages : en
Pages : 377
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Book Description
Mineral wealth from the Americas underwrote and undergirded European colonization of the New World; American gold and silver enriched Spain, funded the slave trade, and spurred Spain's northern European competitors to become Atlantic powers. Building upon works that have narrated this global history of American mining in economic and labor terms, Mining Language is the first book-length study of the technical and scientific vocabularies that miners developed in the sixteenth and seventeenth centuries as they engaged with metallic materials. This language-centric focus enables Allison Bigelow to document the crucial intellectual contributions Indigenous and African miners made to the very engine of European colonialism. By carefully parsing the writings of well-known figures such as Cristobal Colon and Gonzalo Fernandez de Oviedo y Valdes and lesser-known writers such Alvaro Alonso Barba, a Spanish priest who spent most of his life in the Andes, Bigelow uncovers the ways in which Indigenous and African metallurgists aided or resisted imperial mining endeavors, shaped critical scientific practices, and offered imaginative visions of metalwork. Her creative linguistic and visual analyses of archival fragments, images, and texts in languages as diverse as Spanish and Quechua also allow her to reconstruct the processes that led to the silencing of these voices in European print culture.
Author: Anne Kao
Publisher: Springer Science & Business Media
ISBN: 1846287545
Category : Computers
Languages : en
Pages : 272
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Book Description
Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.
Author: Bing Liu
Publisher: Morgan & Claypool Publishers
ISBN: 1608458849
Category : Computers
Languages : en
Pages : 185
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Book Description
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online. Table of Contents: Preface / Sentiment Analysis: A Fascinating Problem / The Problem of Sentiment Analysis / Document Sentiment Classification / Sentence Subjectivity and Sentiment Classification / Aspect-Based Sentiment Analysis / Sentiment Lexicon Generation / Opinion Summarization / Analysis of Comparative Opinions / Opinion Search and Retrieval / Opinion Spam Detection / Quality of Reviews / Concluding Remarks / Bibliography / Author Biography
Author: Giuseppe Carenini
Publisher: Morgan & Claypool Publishers
ISBN: 160845391X
Category : Technology & Engineering
Languages : en
Pages : 132
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Book Description
Due to the Internet Revolution, human conversational data -- in written forms -- are accumulating at a phenomenal rate. At the same time, improvements in speech technology enable many spoken conversations to be transcribed. Individuals and organizations engage in email exchanges, face-to-face meetings, blogging, texting and other social media activities. The advances in natural language processing provide ample opportunities for these "informal documents" to be analyzed and mined, thus creating numerous new and valuable applications. This book presents a set of computational methods to extract information from conversational data, and to provide natural language summaries of the data. The book begins with an overview of basic concepts, such as the differences between extractive and abstractive summaries, and metrics for evaluating the effectiveness of summarization and various extraction tasks. It also describes some of the benchmark corpora used in the literature. The book introduces extraction and mining methods for performing subjectivity and sentiment detection, topic segmentation and modeling, and the extraction of conversational structure. It also describes frameworks for conducting dialogue act recognition, decision and action item detection, and extraction of thread structure. There is a specific focus on performing all these tasks on conversational data, such as meeting transcripts (which exemplify synchronous conversations) and emails (which exemplify asynchronous conversations). Very recent approaches to deal with blogs, discussion forums and microblogs (e.g., Twitter) are also discussed. The second half of this book focuses on natural language summarization of conversational data. It gives an overview of several extractive and abstractive summarizers developed for emails, meetings, blogs and forums. It also describes attempts for building multi-modal summarizers. Last but not least, the book concludes with thoughts on topics for further development. Table of Contents: Introduction / Background: Corpora and Evaluation Methods / Mining Text Conversations / Summarizing Text Conversations / Conclusions / Final Thoughts
Author: Bing Liu
Publisher: Cambridge University Press
ISBN: 1108787282
Category : Computers
Languages : en
Pages : 451
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Book Description
Sentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This comprehensive introduction to the topic takes a natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs commonly used to express opinions, sentiments, and emotions. The book covers core areas of sentiment analysis and also includes related topics such as debate analysis, intention mining, and fake-opinion detection. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences. In addition to traditional computational methods, this second edition includes recent deep learning methods to analyze and summarize sentiments and opinions, and also new material on emotion and mood analysis techniques, emotion-enhanced dialogues, and multimodal emotion analysis.
Author: Julia Silge
Publisher: "O'Reilly Media, Inc."
ISBN: 1491981628
Category : Computers
Languages : en
Pages : 193
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Book Description
Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling.
Author: David Lo
Publisher: CRC Press
ISBN: 1439806276
Category : Computers
Languages : en
Pages : 460
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Book Description
An emerging topic in software engineering and data mining, specification mining tackles software maintenance and reliability issues that cost economies billions of dollars each year. The first unified reference on the subject, Mining Software Specifications: Methodologies and Applications describes recent approaches for mining specifications of sof
Author: Otis E. Young, Jr.
Publisher: University of Oklahoma Press
ISBN: 9780806113524
Category : Technology & Engineering
Languages : en
Pages : 372
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Book Description
Here, for the first time, is a clear account in words and pictures of the methods by which gold and silver were extracted and processed in the Old West. The author describes the early days of Spanish and Indian mining and the wild era inaugurated by the American prospector who rushed west to get rich quick, ending with the year 1893, when repeal of the Sherman Silver Purchase Act virtually closed the mining frontier. The account gives in laymen’s language the techniques employed in prospecting, placering, lode mining, and milling, particularly those employed by the Spaniards, Indians, and Cornishmen, and shows how the ever-practical Americans adapted and improved them. Special attention is given to the methods employed in the California and Montana gold fields, Colorado and the Comstock Lode, the Black Hills, and Tombstone, Arizona. In these pages the reader also meets some of the unforgettable personalities whose lives enriched (and sometimes impoverished) the mining camps.
Author:
Publisher:
ISBN:
Category : Mines and mineral resources
Languages : en
Pages : 336
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Book Description
Author: Matthew Russell
Publisher: "O'Reilly Media, Inc."
ISBN: 1449388345
Category : Computers
Languages : en
Pages : 356
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Book Description
Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed. Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools. Get a straightforward synopsis of the social web landscape Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn Learn how to employ easy-to-use Python tools to slice and dice the data you collect Explore social connections in microformats with the XHTML Friends Network Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits "Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python." --Jeff Hammerbacher, Chief Scientist, Cloudera "A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google
