Implicit aspect extraction in sentiment analysis: Review,taxonomy, oppportunities,and open challenges

Sentiment analysis is a text classification branch, which is defined as the process of extracting sentiment terms (i.e. feature/aspect, or opinion) and determining their opinion semantic orientation. At aspect level, aspect extraction is the core task for sentiment analysis which can either be implicit or explicit aspects. The growth of sentiment analysis has resulted in the emergence of various techniques for both explicit and implicit aspect extraction. However, majority of the research attempts targeted explicit aspect extraction, which indicates that there is a lack of research on implicit aspect extraction. This research provides a review of implicit aspect/features extraction techniques from different perspectives. The first perspective is making a comparison analysis for the techniques available for implicit term extraction with a brief summary of each technique. The second perspective is classifying and comparing the performance, datasets, language used, and shortcomings of the available techniques. In this study, over 50 articles have been reviewed, however, only 45 articles on implicit aspect extraction that span from 2005 to 2016 were analyzed and discussed. Majority of the researchers on implicit aspects extraction rely heavily on unsupervised methods in their research, which makes about 64% of the 45 articles, followed by supervised methods of about 27%, and lastly semi-supervised of 9%. In addition, 25 articles conducted the research work solely on product reviews, and 5 articles conducted their research work using product reviews jointly with other types of data, which makes product review datasets the most frequently used data type compared to other types. Furthermore, research on implicit aspect features extraction has focused on English and Chinese languages compared to other languages. Finally, this review also provides recommendations for future research directions and open problems.     

2006-2011年我国图书馆个性化服务研究统计分析

通过对18种图书情报学核心期刊2006-2011年所刊发的有关图书馆个性化服务的研究论文的计量统计,调查了论文期刊分布、年代分布和核心作者地区分布现状,对论文关键词运用词频统计方法,分析了相关研究热点的成因并预测了其发展趋势。     

Information,knowledge and collaboration management in the internationalisation of SMEs: A systematic literature review

Information and knowledge can be seen as key resources for improving the internationalisation processes of small and medium-sized enterprises (SMEs). Collaboration has also been considered as an important facilitator of these processes, particularly by nurturing information and knowledge sharing. However, the current literature is unclear about the way SMEs can access information and assimilate knowledge in a collaborative network context, to support decision-making. This paper systematically reviews the literature, examining the role of information, knowledge and collaboration in internationalisation decisions of SMEs. To this end, 38 relevant journal articles were analysed, with the identification of some important issues, as well as gaps in the existing empirical knowledge. This analysis provided valuable input for the development of research suggestions and directions for future work in this area.     

Playing the game: Psychology textbooks speak out about love

Starting in 1958, Harry Harlow published numerous research papers analyzing the emotional and social development of rhesus monkeys. This essay examines the presentation of Harlow's work in introductory psychology textbooks from 1958 to 1975, focusing on whether the textbooks erased the process of research, presented results without hedging, and provided a uniform account of Harlow's work and results. It argues that many textbooks were not passive vehicles of knowledge transmission; instead, they played a role similar to articles of meta-analysis and literature reviews.     

基于Web of Science的数字图书馆研究论文定量分析

以美国科学情报研究所（ISI）开发的基于Web的Web of Science网络数据库为数据源基础，对1993-2004年间SCI和SSCI收录的数字图书馆研究论文的情况，从论文的发表时间分布、期刊分布、被引频次分布、作者分布四个方面进行了统计与分析，初步确定了数字图书馆领域的核心期刊、经典文献和核心作者。     

Characterizing eParticipation

eParticipation is an emerging research area which, like most emerging areas, lacks a clear literature base or research approach. This study maps out some of the academic theories and disciplines that the new area addresses, using conventional literature study techniques. We identify 99 articles that are considered to be highly relevant to eParticipation. We develop a definitional schema that suggests different ways of understanding an emerging research area, and use this schema to identify key academic articles that help to define eParticipation. We adapt Deetz's [(1996). Describing differences in approaches to organization science: Rethinking Burrell and Morgan and their legacy. Organization Science, 7(2), 191–207] taxonomy of discourses in organizational science to provide an overall categorization scheme for research in the area, and map the literature. The article thus contributes to a developing picture which will help future researchers both to understand and to navigate the research area.     

基于环境与情境的信息搜寻与搜索

回顾了与信息搜寻(information seeking)和搜索(information search)环境(context)及情境(situation)相关的研究,阐述人们对环境和情境的理解。作为环境或情境的重要要素,工作任务(work tasks)已成为信息行为相关研究的起点。文章论述了工作任务的定义,并将相关研究概括为直接研究和间接研究,以帮助理解该领域的研究途径和方式,促进其在中国的发展。     

Bias in research

By writing scientific articles we communicate science among colleagues and peers. By doing this, it is our responsibility to adhere to some basic principles like transparency and accuracy. Authors, journal editors and reviewers need to be concerned about the quality of the work submitted for publication and ensure that only studies which have been designed, conducted and reported in a transparent way, honestly and without any deviation from the truth get to be published. Any such trend or deviation from the truth in data collection, analysis, interpretation and publication is called bias. Bias in research can occur either intentionally or unintentionally. Bias causes false conclusions and is potentially misleading. Therefore, it is immoral and unethical to conduct biased research. Every scientist should thus be aware of all potential sources of bias and undertake all possible actions to reduce or minimize the deviation from the truth. This article describes some basic issues related to bias in research.     

A combined bibliometric indicator to predict article impact

In both the UK and Australia there has been a recent move to use citation analysis in the evaluation of the research of individuals. In particular, the future UK Research Excellence Framework (REF), proposes using citation data in the research evaluation of articles published as recently as the year prior to the evaluation. In response to this move, this research develops an indicator at the level of individual articles that, when normalized, can supplement peer review. The new hybrid indicator is the weighted sum of two indicators in common usage: the article’s total number of citations in a citation window, and the Impact Factor of the journal in which the article was published. This research compares this new indicator with the article’s total number of citations in a longer citation window (the standard indicator of article impact). For citation windows of 0 or 1 years, the correlation of the simplified weighted sum with long-term citation is substantially higher than the correlation of the standard indicator of article citation with long-term citation. Moreover, for citation windows of as long as 3 years the standard indicator of citation correlates significantly with the month of publication, in that articles published earlier in the year are on average more highly cited than those published later in the year. By contrast, the skewing of the simplified weighted sum towards articles published early in the year is considerably less than that of the standard indicator.     

灰色文献对发表偏倚的影响研究

概述了灰色文献的定义、类型、特征和重要性、现状和不足;以及发表偏倚的定义、产生的原因和导致的后果。科学研究中如果只纳入白色文献而排除灰色文献,就会夸大阳性研究结果,导致决策失误。为了降低发表偏倚,保证研究结果更加全面、客观、真实,建议把灰色文献纳入科研分析中。     

Is the commercialisation of scientific research affecting the production of public knowledge?: Global trends in the output of corporate research articles

Judging by the large R&D-active companies that have slimmed down their research labs in recent years, it would seem that corporate research is increasingly managed as an economic asset that is predominantly driven by market forces and ruled by IPR strategies. Has this development significantly affected industry’s basic research and interactions with research communities in the public sector? This paper examines the global trends in an underdeveloped source of information on corporate science: their research articles published in the international scientific and technical journals.Statistical analysis of some 290,000 corporate research articles published in 1996-2001 indicate that, contrary to large increases in patenting and growth in patent citations to research literature, the numbers of research articles that list author affiliate addresses in the corporate sector have declined steadily, especially for those articles authored exclusively by industrial researchers. More detailed analysis of trends in the bio-pharmaceuticals sector and semiconductors sector show sector-specific publication trends and patterns related to specifics of their innovation processes.Overall, these observations provide factual evidence indicating that corporate research is in an on-going process of structural change characterised by a stronger emphasis on the appropriation and commercialisation of in-house research results.     

Open innovation: The next decade

We review the contribution and evolution of open innovation since the publication of Chesbrough's 2003 Open Innovation book, and suggest likely directions going forward. We link the articles of this special issue to three key trends in open innovation research: better measurement, resolving the role of appropriability and linking that research to the management and economics literature. From this, we identify other trends and suggest opportunities for future research.     

Social commerce research: Definition,research themes and the trends

Social commerce, an emerging phenomenon rooted in social media and Web 2.0 technologies, has attracted the attention of many researchers. The number of publications on social commerce has grown exponentially in the past 10 years. Now, social commerce has become a significant emerging research area. In this paper, we first define the boundary of social commerce research and then attempt to review the extant literature in this area comprehensively and systematically. Based on the definition, this study surveyed 1369 peer-reviewed academic publications in the social media, Web 2.0, and other related areas. Following the survey, 418 of the publications were identified as social commerce research. Then, latent semantic analysis (LSA), a text mining approach, was applied to summarize the current state of social commerce research. LSA results show that there are three major research themes in the current social commerce research: organization, advertisement, and word-of-mouth. Each theme discusses topics such as innovation, user-generated content, and reputation, among others. In addition, we identify some interesting trends. The first main trend is that innovation, corporate reputation, and user-generated content remain the major research topics, although they are experiencing a slight decline. The second main trend is that online reviews, trust, and e-word-of-mouth are attracting more attention from researchers.     

我国科技政策研究中社会调查方法应用的回顾

近年来,社会调查方法在我国科技政策研究中得到广泛应用,但对该方法应用情况进行系统总结和评价的研究尚付阙如。本研究对进入新世纪以来国内相关期刊上公开发表的279篇使用社会调查方法的科技政策研究论文进行了系统回顾,发现社会调查方法在科技政策研究中得到日益广泛的应用,研究目的和统计方法的层次都有明显的提高,抽样方法、测量方法和资料收集方法的使用和呈现规范性水平也在不断提升。但仍存在对抽样代表性重视不足、调查方法呈现的规范性有待提高,以及对基本方法和概念理解不够准确等问题。文章最后还对未来如何提高调查研究方法水平提出了建议。     

老化研究中的引文出版年龄处理

文章探讨了用引用文献分析法研究学科文献老化规律时引文出版年龄的计算处理方法,分析了“表观引文出版年龄”对老化研究结果的影响,并提出了修正公式。     

基于中国湿地CVM研究的Meta分析

Meta分析作为效益转移的一种有效方法,在湿地资源评估方面得到广泛应用,但由于样本数据中出版选择偏差的存在,使评估结果的准确性受到影响。为解决该问题,本文构建可消除出版选择偏差影响的Meta回归模型,通过收集中国应用CVM对湿地进行价值评估的研究结果,建立价值转移数据库,通过检验数据库中出版选择偏差的存在与否,选择恰当的Meta回归模型,进而建立价值转移模型,并对模型样本外价值转移的有效性进行检验。FAT-PET的检验结果表明,数据库中不存在出版选择偏差,说明本文所选取文献的样本代表性较好,样本数据并没有受到出版选择偏差的影响;Meta回归结果表明,湿地服务类型、湿地位置、湿地类型、湿地面积、受益人口数以及问卷引导方式的差异,都会导致湿地价值估值的差异,而问卷调查方式、人均GDP、研究时间和期刊质量等对湿地价值估值没有显著影响;Meta回归模型的样本外效益转移的误差范围为0.08%~39.02%,误差均值为9.58%,模型可用于样本外效益转移。     

Forty years of the International Journal of Information Management: A bibliometric analysis

In 2019, the International Journal of Information Management (IJIM) celebrated its 40th year of publication. This study commemorates this event by presenting a retrospect of the journal. Using a range of bibliometric tools, we find that the journal has grown impressively in terms of publication and citation. The contributions come from all over the world, but the majority are from Europe and the United States. The journal has mostly published empirical articles, with its authors dominantly using quantitative methodology. Further, the culture of collaboration has increased among authors over the years. The journal publishes on a number of including managing information systems, information technologies and their application in business, technology acceptance among consumers, using information systems for decision making, social perspectives on knowledge management, and information research from the social science perspective. Regression analysis reveals that article attributes such as article order, methodology, presence of authors from Europe, number of references, number of keywords, and abstract length have a significant association with the citations. Finally, we find that conceptual and review articles have a positive association with citations.