Social media analytics for enterprises: Typology,methods, and processes

This article provides an overview of social media analytics for managers that seek to utilize the practice for social media intelligence. Currently, managers are challenged to analyze an abundance of social media data but lack a framework within which to do so. Toward this end, this article presents a simple typology of social media analytics for enterprises. It also discusses various analytics methods for social media data. Then, this article discusses management processes of social media analytics for enterprises. An illustration of social media analytics is provided with real-world consumer review data. Finally, four challenges are discussed.     

我国投资者情绪与股票收益实证研究

根据投资者情绪是股票价格形成重要影响因素这一研究观点,围绕投资者情绪是否构成系统性风险及其对不同类型股票的差异化影响,运用我国股市交易数据进行的实证研究结果表明,投资者情绪不构成股市的系统性风险,但对不同市值的股票有着差异化的影响,随着股票的"投机性"增加,投资者情绪对其影响也增大.此外,投资者情绪会削弱股票收益与其波动的正相关性,且对于"投机性"越高的股票,这一影响也越大.     

不完全理性、投资者情绪与封闭式基金之谜

本文的主要贡献在于运用不完全理性投资者的情绪解析中国"封闭式基金之谜",并且论证投资者情绪是资产定价的重要因素。首先通过国内数据检验封闭式基金价格的过度波动说明国内投资者的不完全理性;其次提出了对LST(1991)的改进方法,通过提出假说与统计论证,解释了尽管国内封闭式基金的投资者结构与美国的不同,却有和LST类似的实证结果;进而利用其他反映情绪的指标间接证明封闭式基金折价是情绪指标;最后,检验情绪对市场收益的长期反向影响(长期收益反转)和情绪对短期市场收益的正向影响(短期收益惯性),论证了投资者情绪是资产定价的重要因素。     

创业板IPO抑价与投资者情绪研究

投资者情绪是影响股票价格波动的重要因素。创业板成立时间较短,投资者相对不成熟,且创业板公司属于创业期的中小企业,面临较大的技术、市场和管理的风险,这些特征决定了创业板不同于其他市场板块的IPO抑价特征。本文选取间接反映投资者情绪的指标,通过对创业板2012年发行上市的74家公司数据的研究发现:中签率与抑价率显著负相关,首日换手率与抑价率显著正相关,发行市盈率与抑价率负相关但不显著。并提出了相应的政策建议。     

Exploring customer sentiment regarding online retail services: A topic-based approach

User-generated content is a valuable source for understanding online shoppers' emotions. Using text-mining techniques, this study identifies seven topics regarding online retail services in online posts: product, retailer promotion, delivery, payment, communication, return/refund, and price. The topics are associated with the sentiment polarity of online shoppers' posts. This study further explores whether the emotional responses from domestic and cross-border online shoppers differ with regard to these topics. The results show that differences exist in these two groups' sentiments concerning product and payment. Furthermore, there are differences in the two groups’ respective negative emotions (i.e., anger, sadness, and fear) concerning delivery, communication, and return/refund. The findings of this study provide online retailers with important managerial implications.     

Improving text summarization of online hotel reviews with review helpfulness and sentiment

The considerable volume of online reviews for today's hotels are is difficult for review readers to manually process. Automatic review summarizations are a promising direction for improving information processing of travelers. Studies have focused on extracting relevant text features or performing sentiment analysis to compile review summaries. However, numerous reviews contain nonspecific or nonsentimental content, hindering the ability of sentiment-based techniques' to accurately summarize useful information from hotel reviews. This paper proposes a systematic approach that first constructs classifiers to identify helpful reviews and then classifies the sentences in the helpful reviews into six hotel features. Finally, the sentiment polarities of sentences are analyzed to generate the review summaries. Experiment results indicated that the performance of the proposed approach was superior to other methods.     

ECONOMETRICS MEETS SENTIMENT: AN OVERVIEW OF METHODOLOGY AND APPLICATIONS

The advent of massive amounts of textual, audio, and visual data has spurred the development of econometric methodology to transform qualitative sentiment data into quantitative sentiment variables, and to use those variables in an econometric analysis of the relationships between sentiment and other variables. We survey this emerging research field and refer to it as sentometrics, which is a portmanteau of sentiment and econometrics. We provide a synthesis of the relevant methodological approaches, illustrate with empirical results, and discuss useful software.     

Do cultural orientations moderate the effect of online review features on review helpfulness? A case study of online movie reviews

The perceived helpfulness of online product reviews plays a critical role in consumers’ decisions in e-commerce. In this context, based on the literature on information processing and cultural effects, this study explored the role of review features in the perceived helpfulness of online movie reviews. A cross-cultural investigation (i.e., China cf. the United States (US)) was employed to identify high-vs. low-context cultural orientation and uncertain avoidance orientation as moderators. The results reveal that review length, timeliness, title sentiment, and emotional expressions are significant predictors of helpfulness for consumer reviews in China and the US. In addition, cultural differences between the two countries, that is, high-vs. low-context culture and uncertainty avoidance, moderated the relationships between review length, timeliness, title sentiments, and review helpfulness.