Sentiment Analysis: Mining Opinions, Sentiments, and Emotions (Hardcover)

Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis. This book gives a comprehensive introduction to the topic from a primarily natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs that are commonly used to express opinions and sentiments. It covers all core areas of sentiment analysis, includes many emerging themes, such as debate analysis, intention mining, and fake-opinion detection, and presents computational methods to analyze and summarize opinions. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences.

情感分析是對人們的意見、情感、情緒和態度進行計算研究的領域。這個引人入勝的問題在商業和社會中越來越重要。它提供了許多研究挑戰，但承諾為對意見分析和社交媒體分析感興趣的任何人提供有用的洞察力。本書從主要的自然語言處理角度全面介紹了這個主題，幫助讀者理解問題的基本結構和常用於表達意見和情感的語言結構。它涵蓋了情感分析的所有核心領域，包括許多新興主題，如辯論分析、意圖挖掘和假意見檢測，並提供了分析和總結意見的計算方法。對於自然語言處理、計算機科學、管理科學和社會科學的研究人員和從業人員來說，這將是一個寶貴的資源。