The interaction effects of online reviews and free samples on consumers’ downloads: An empirical analysis     

Li Shengli  Li Fan 《Information processing & management》2019,56(6):102071

Consumers’ software purchase decisions are influenced both by online reviews and by their experiences with free samples provided by firms. This paper empirically investigates the differential effects of online reviews (user and editor ratings) on consumers’ sample downloading behavior, using a dataset drawn from a large software free sampling website CNET.com. Our findings extend the previous research by suggesting that information disclosure levels of free samples (indicated by licenses) moderates the impacts of online reviews on consumers’ sample downloads. For samples that disclose a great level of information, higher user ratings can increase downloads; otherwise, higher user ratings fail to increase downloads. When both user and editor ratings are available to consumers, only user ratings can increase sample downloads. The findings can be explained by consumers’ two-stage information process whereby consumers first refer to online reviews and then determine whether to sample software. This study provides practical implications on the design of information disclosure channel and offers suggestions for firms regarding how to select and apply sample licenses.  相似文献   

The impact of deep learning on document classification using semantically rich representations     

Zenun Kastrati  Ali Shariq Imran  Sule Yildirim Yayilgan 《Information processing & management》2019,56(5):1618-1632

This paper presents a semantically rich document representation model for automatically classifying financial documents into predefined categories utilizing deep learning. The model architecture consists of two main modules including document representation and document classification. In the first module, a document is enriched with semantics using background knowledge provided by an ontology and through the acquisition of its relevant terminology. Acquisition of terminology integrated to the ontology extends the capabilities of semantically rich document representations with an in depth-coverage of concepts, thereby capturing the whole conceptualization involved in documents. Semantically rich representations obtained from the first module will serve as input to the document classification module which aims at finding the most appropriate category for that document through deep learning. Three different deep learning networks each belonging to a different category of machine learning techniques for ontological document classification using a real-life ontology are used.Multiple simulations are carried out with various deep neural networks configurations, and our findings reveal that a three hidden layer feedforward network with 1024 neurons obtain the highest document classification performance on the INFUSE dataset. The performance in terms of F1 score is further increased by almost five percentage points to 78.10% for the same network configuration when the relevant terminology integrated to the ontology is applied to enrich document representation. Furthermore, we conducted a comparative performance evaluation using various state-of-the-art document representation approaches and classification techniques including shallow and conventional machine learning classifiers.  相似文献   

Others Share this Message,So We Can Trust It? An Examination of Bandwagon Cues on Organizational Trust in Risk     

Xialing Lin  Patric R. Spence 《Information processing & management》2019,56(4):1559-1564

Consideration of social media use for issues of risk communication has received rapid attention in the scholarly literature. However, specific features of social media and their relevance for risk communication warrant continued investigation. The current study examines how system-generated cues available in social media impact perceptions of trust at the organizational level. After viewing one of three mock Twitter pages from an organization that varied the number of retweets concerning the risk of contaminated food in grocery stores, participants were asked to report their perceived trust in the organization. Data indicate a reverse bandwagon or snob effect, such that having too many retweets results in lower judgments of organizational trust. Results are discussed in addition to limitations and future directions for research.  相似文献   

Aspect-based sentiment analysis with alternating coattention networks     

Chao Yang  Hefeng Zhang  Bin Jiang  Keqin Li 《Information processing & management》2019,56(3):463-478

Aspect-based sentiment analysis aims to predict the sentiment polarities of specific targets in a given text. Recent researches show great interest in modeling the target and context with attention network to obtain more effective feature representation for sentiment classification task. However, the use of an average vector of target for computing the attention score for context is unfair. Besides, the interaction mechanism is simple thus need to be further improved. To solve the above problems, this paper first proposes a coattention mechanism which models both target-level and context-level attention alternatively so as to focus on those key words of targets to learn more effective context representation. On this basis, we implement a Coattention-LSTM network which learns nonlinear representations of context and target simultaneously and can extracts more effective sentiment feature from coattention mechanism. Further, a Coattention-MemNet network which adopts a multiple-hops coattention mechanism is proposed to improve the sentiment classification result. Finally, we propose a new location weighted function which considers the location information to enhance the performance of coattention mechanism. Extensive experiments on two public datasets demonstrate the effectiveness of all proposed methods, and our findings in the experiments provide new insight for future developments of using attention mechanism and deep neural network for aspect-based sentiment analysis.  相似文献   

多媒体网络舆情信息传播要素细分及属性分析     

黄微  徐烨  朱镇远 《图书情报工作》2019,63(20):34-42

[目的/意义]从不同维度对多媒体网络舆情信息传播要素的类型和属性进行分析，进而有效提升多媒体网络舆情信息的处理效率和利用价值。[方法/过程]通过文献调研法对多媒体网络舆情信息传播要素中的主体、客体、本体、媒体和环境噪音从类型和属性两方面进行分析，对多媒体网络舆情发展演化过程中产生的数据形式和内容进行系统梳理。[结果/结论]多媒体网络舆情信息数据类型多样，对多媒体网络舆情信息传播要素的类型和属性进行分析，有助于为多媒体网络舆情信息系统整合和数据库建设提供理论基础和研究思路。  相似文献   

论文作者及其工作单位著录格式的探讨   总被引：1，自引：1，他引：0  

王玖  祁爱琴  石德文 《编辑学报》2003,15(3):192-193

为促进科技期刊论文作者及作者单位著录格式的规范化，对作者及其单位常见著录格式的缺陷和不足进行分析，并提出科技论文作者及其单位著录格式规范化的原则和建议。  相似文献   

毛泽东军事文化思想探析     

颜旭 《湖南第一师范学报》2006,6(4):6-8

作为中国共产党第一代领导核心,毛泽东在领导中国人民夺取政权、巩固政权的伟大斗争中,创立和发展了有中国特色的现代军事文化体系,在中国乃至世界军事史上写下了光辉的篇章:以人民战争为基础,辩证掌握战争本质的军事观念文化;以党的领导为核心,以加强人民军队建设为中心的军事制度文化;以灵活机动的人民战争战略战术为特色的军事谋略文化。  相似文献   

深圳市儿童头发中五种微量元素与身高体重生长关系的研究     

赵佩芬  陈家钧  邓日燊  马永健 《体育科学》1992,(1)

本文首次引入微量元素最可几值概念,并以此对微测数据和身高体重数据进行分析,提出了对少年儿童体质培养颇有参考价值的分析结果:①适量的铅对儿童的生长发育是有益的;②锌、铅含量呈负相关,对正常发育的儿童,锌铅之比保持一定范围;③身材高的儿童(占3％)与身材矮小者(占5％)一样,发钙含量低。  相似文献   

Play On? Comparing Active Learning Techniques for Information Literacy Instruction in the Public Speaking Course     

Jennifer L. Bonnet  Liliana Herakova  Ben McAlexander 《The Journal of Academic Librarianship》2018,44(4):500-510

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Format Preferences of Performing Arts Students: A Multi-institution Study     

Joe C. Clark  Sheridan Stormes  Jonathan Sauceda 《The Journal of Academic Librarianship》2018,44(5):620-626

The article describes a follow-up to Clark's 2012 examination of performing arts students' format preferences; it also explored their preferred sources for course-related information. This mixed-methods study was implemented at three institutions and included an online Qualtrics survey and focus groups. Results indicated a continued shift toward digital resources, with strong preferences for obtaining electronic journals and reference materials through the library. Print scores and books remained popular; however, students appeared more open to electronic options when compared to the 2012 results. Freely available online video and audio continued to enjoy popularity. Students want the libraries to acquire a mix of both physical and electronic resources, and they favor print books and scores.  相似文献