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Cultural, Ethnic, and Political Nationalism in Contemporary Taiwan
This volume analyzes what is arguably the single most important aspect of cultural and political change in Taiwan over the past quarter-century: the trend toward 'indigenization' (bentuhua). Focusing on the indigenization of politics and culture and its close connection with the identity politics of ethnicity and nationalism, this volume is an attempt to map prominent contours of the indigenization paradigm as it has unfolded in Taiwan. The opening chapters concern the origin and nature of the trend toward indigenization with its roots in the unique historical trajectory of politics and culture in Taiwan. Subsequent chapters deal with responses and reactions to indigenization in a variety of social, cultural and intellectual domains.
Opinions, Sentiment, and Emotion in Text
This book gives a comprehensive introduction to all the core areas and many emerging themes of sentiment analysis.
Sentiment Analysis and Opinion Mining
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...
Representation Learning for Natural Language Processing
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
現代中文文學學報
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Mathematical Reviews
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