Sentiment Analysis and Opinion Mining (Paperback)

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

情感分析和意見挖掘是研究從書面語言中分析人們的意見、情感、評價、態度和情緒的領域。它是自然語言處理中最活躍的研究領域之一，也被廣泛研究於數據挖掘、網絡挖掘和文本挖掘。事實上，由於其對商業和社會的重要性，這項研究已經擴展到計算機科學以外的管理科學和社會科學領域。情感分析的重要性與評論、論壇討論、博客、微博、Twitter和社交網絡等社交媒體的增長相一致。人類歷史上第一次，我們現在有大量以數字形式記錄的具有意見的數據供分析使用。

情感分析系統在幾乎所有商業和社交領域都得到應用，因為意見對於幾乎所有人類活動都至關重要，並且是我們行為的關鍵影響因素。我們對現實的信念和認知，以及我們的選擇，很大程度上取決於他人如何看待和評價世界。因此，當我們需要做出決策時，我們通常會尋求他人的意見。這不僅適用於個人，也適用於組織。

本書是一本全面的介紹和調查性文本。它涵蓋了該領域的所有重要主題和最新發展，並引用了超過400個參考文獻。它適合對社交媒體分析有興趣的學生、研究人員和從業人員，特別是對情感分析感興趣的人。講師可以在自然語言處理、社交媒體分析、文本挖掘和數據挖掘等課程中使用它。講義幻燈片也可在線上獲得。

目錄: 前言 / 情感分析：一個迷人的問題 / 情感分析的問題 / 文檔情感分類 / 句子主觀性和情感分類 / 基於方面的情感分析 / 情感詞彙生成 / 意見摘要 / 比較意見分析 / 意見搜索和檢索 / 意見垃圾郵件檢測 / 評論質量 / 結論 / 參考文獻 / 作者簡介