This work discusses philosophical problems of perceptual content, the content of deomonstrative thoughts, and the unity of proposition. By demonstrating a connection between phenomenology and analysis, Kelly suggests ways in which they can be fruitfully pursued.
In Unbound in War?, Sean Richmond examines the influence and interpretation of international law in the use of force by two important but understudied countries, Canada and Britain, during two of the most significant conflicts since 1945, namely the Korean War and the Afghanistan Conflict. Through innovative application of sociological theories in International Relations (IR) and International Law (IL), and rigorous qualitative analysis of declassified documents and original interviews, the book advances a two-pronged argument. First, contrary to what some dominant IR perspectives might predict, international law can play four underappreciated roles when states use force. It helps constitute identity, regulate behaviour, legitimate certain actions, and structure the development of new rules. However, contrary to what many IL approaches might predict, it is unclear whether these effects are ultimately attributable to an obligatory quality in law. This ground-breaking argument promises to advance interdisciplinary debates and policy discussions in both IR and IL.
Aimed at all ages and all budgets, this guide is written for intelligent and imaginative individuals looking for inspiration and new horizons. Explores the cultural Ireland--its music, literature, art, and film--and features revised and expanded descriptions of the best long-distance walks, plus expanded coverage of great outdoor activities, from surfing in Portrush to angling in Tipperary.
Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. Unlike data generated by a computer system or sensors, text data are usually generated directly by humans, and are accompanied by semantically rich content. As such, text data are especially valuable for discovering knowledge about human opinions and preferences, in addition to many other kinds of knowledge that we encode in text. In contrast to structured data, which conform to well-defined schemas (thus are relatively easy for computers to handle), text has less explicit structure, requiring computer processing toward understanding of the content encoded in text. The current technology of natural language processing has not yet reached a point to enable a computer to precisely understand natural language text, but a wide range of statistical and heuristic approaches to analysis and management of text data have been developed over the past few decades. They are usually very robust and can be applied to analyze and manage text data in any natural language, and about any topic. This book provides a systematic introduction to all these approaches, with an emphasis on covering the most useful knowledge and skills required to build a variety of practically useful text information systems. The focus is on text mining applications that can help users analyze patterns in text data to extract and reveal useful knowledge. Information retrieval systems, including search engines and recommender systems, are also covered as supporting technology for text mining applications. The book covers the major concepts, techniques, and ideas in text data mining and information retrieval from a practical viewpoint, and includes many hands-on exercises designed with a companion software toolkit (i.e., MeTA) to help readers learn how to apply techniques of text mining and information retrieval to real-world text data and how to experiment with and improve some of the algorithms for interesting application tasks. The book can be used as a textbook for a computer science undergraduate course or a reference book for practitioners working on relevant problems in analyzing and managing text data.
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