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Jingdong book

大数据时代的心理学研究及应用

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Jingdong book

大数据时代的心理学研究及应用

Name: 大数据时代的心理学研究及应用
Brand: Jingdong book
SKU: 3116049381
Price: 43.63 USD
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Content Description

近年来，大数据概念得到了包括心理学在内的各个领域的高度关注。
《大数据时代的心理学研究及应用》以中国科学院心理研究所计算网络心理实验室（CCPL）的一系列研究成果为内容主线，系统介绍了网络心理学的基本概念、研究方法、研究工具及新研究进展，旨在使读者能够全面地了解这门新型交叉学科的整体概况、清晰地理解大数据对心理科学的研究逻辑和研究方法所产生的深远影响、深刻地领悟利用网络大数据开展心理学研究的非凡科研价值与广阔应用前景，从而为推动后续相关研究课题的开展起到抛砖引玉的作用。
《大数据时代的心理学研究及应用》可供心理学、医学、教育学、计算机科学工作者和心理学爱好者阅读参考。

Catalogue

序
前言

第1章绪论
1．1 大数据的概念及特点
1．2 心理学的历史与概况
1．2 ，1发展历史
1．2．2 研究概况
1．3 大数据在心理学中的应用
1．3．1 改善了传统的心理学研究方法
1．3．2 催生出全新的心理学研究领域
1．4 大数据与心理学的结合原则
1．4．1 学科交叉
1．4．2 数据驱动
1．4．3 目标导向
参考文献

第2章大数据时代的计算网络心理
2．1 网络心理学的研究范畴
2．2 计算网络心理学的提出
2．3 开展心理学研究的理论依据
2．4 网络行为与心理特征
2．4．1 网络行为与人格的相关性
2．4．2 网络行为与心理健康的相关性
2．5 网络挖掘技术
2．5．1 结构挖掘
2．5．2 日志挖掘
2．5．3 内容挖掘／内容分析
2．6 小结
参考文献

第3章计算网络心理学的研究基础
3．1 构建网络行为特征指标体系
3．2 网络行为测量方法
3．3 网络内容分析
3．3．1 词袋模型方法
3．3．2 同义词字典方法
3．3．3 心理语义字典方法
3．4 机器学习方法的应用
3．4．1 主动学习
3．4．2 半监督学习
3．4．3 迁移学习
3．4．4 多任务学习
3．4．5 总结
参考文献

第4章个体心理特征计算
4．1 人格计算
4．1．1 人格研究的理论依据
4．1．2 基于微博数据分析的人格预测
4．2 心理健康计算
4．2．1 心理健康研究的理论依据
4．2．2 基于微博数据分析的心理健康预测
4．3 主观幸福感计算
4．3．1 主观幸福感研究的理论依据
4．3．2 基于微博分析的主观幸福感预测
参考文献

第5章群体心理特征计算
5．1 群体社会态度计算
5．1．1 开展群体社会态度研究的必要性
……

第6章自杀风险预测
第7章智能移动设备带来的新机遇

Introduction

大数据的时代已悄然来临，在得到广泛商业应用的同时，在物理学、天文学、大气学、基因组学、生物学、社会学等众多学科领域也得到了广泛的应用。心理学作为一门研究心理现象及其规律的科学，主要通过研究心理现象的外显表达来间接推测心理现象的变化规律。科技发展为我们获取个体的外显表达提供了坚实的技术基础，能够实现对个体外显表达长时程生态化的记录，在外显行为大数据的基础上可以开展心理学研究。如何将大数据技术应用于心理学研究是我们面临的一个重大挑战。
本书作者团队从2008年开展相关的研究，从不同颗粒度的网络行为，实现对用户心理特征的识别，包括人格、心理健康等，并且从对个体的心理特征识别拓展到对群体的社会心态的分析，同时结合不同的实际应用场景开展应用推广的尝试。在此基础上，也开展移动可穿戴以及体感技术方面的研究，根据对用户行为的全方面记录实现对心理特征及时准确的预测。利用行为大数据实现对心理特征的预测是开展大数据与心理学结合的第1步，我们希望能够将大数据与心理学研究深度融合，真正将大数据应用于心理学研究。
本书内容是基于我们以往在大数据以及心理学方面的研究成果为主，通过课题成果介绍大数据技术在不同心理学研究领域的实例。本书是在课题组同学毕业论文的基础上形成的，在与他们相处的日子里，我们共同面对课题中遇到的难题，有过沮丧，有过喜悦！感谢宁悦、李琳、张帆、李一琳、聂栋、高锐、李昂、关增达、白朔天、郝碧波、管理、焦冬冬、高玉松和卢婷婷。感谢父母和家人对我的帮助和支持！

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