Opinion Mining and Sentiment Analysis pdf epub mobi txt 电子书 下载 2026
- 观点挖掘
- 情感分析
- NLP
- 数据挖掘
- SA
- 网络挖掘
- 机器学习
- 数据分析
- Opinion Mining
- Sentiment Analysis
- Natural Language Processing
- Text Mining
- Machine Learning
- Data Mining
- Computational Linguistics
- Affective Computing
- Information Retrieval
- Big Data
具体描述
An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object. Opinion Mining and Sentiment Analysis covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. The focus is on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis. The survey includes an enumeration of the various applications, a look at general challenges and discusses categorization, extraction and summarization. Finally, it moves beyond just the technical issues, devoting significant attention to the broader implications that the development of opinion-oriented information-access services have: questions of privacy, vulnerability to manipulation, and whether or not reviews can have measurable economic impact. To facilitate future work, a discussion of available resources, benchmark datasets, and evaluation campaigns is also provided. Opinion Mining and Sentiment Analysis is the first such comprehensive survey of this vibrant and important research area and will be of interest to anyone with an interest in opinion-oriented information-seeking systems.
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从第四章开始进入状态，classification & summarization 如何和ml结合还讲得有点少，偏统计轻模式，对纯净和规约的数据结构要求比较高，总之和豆瓣气场比较搭吧
评分不错的情感分析入门书籍～
评分从第四章开始进入状态，classification & summarization 如何和ml结合还讲得有点少，偏统计轻模式，对纯净和规约的数据结构要求比较高，总之和豆瓣气场比较搭吧
评分不错的观点挖掘资料综述.
评分从第四章开始进入状态，classification & summarization 如何和ml结合还讲得有点少，偏统计轻模式，对纯净和规约的数据结构要求比较高，总之和豆瓣气场比较搭吧
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