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Comparative opinions widely exist in online reviews as a common way of expressing consumers’ ideas or preferences toward certain products. Such opinion-rich texts are key proxies for detecting product competitiveness. The purpose of this paper is to set up a model for competitiveness analysis by identifying comparative relations from online reviews for restaurants based on both pattern matching and machine learning.

The authors define the sub-category of comparative sentences according to Chinese linguistics. Classification rules are set up for each type of comparative relations through class sequence rule. To improve the accuracy of classification, a comparative entity dictionary is then introduced for further identifying comparative sentences. Finally, the authors collect reviews for restaurants from Dianping.com to conduct experiments for testing the proposed model.

The experiments show that the proposed method outperforms the baseline methods in terms of precision in identifying comparative sentences. On the basis of such comparison-rich sentences, product features and comparative relations are extracted for sentiment analysis, and sentimental score is assigned to each comparative relation to facilitate competitiveness analysis.

Only the explicit comparative relations are discussed, neglecting the implicit ones. Besides that, the study is grounded in the assumption that all features are homogeneous. In some cases, however, the weights to different aspects are not of the same importance to market.

On the basis of comparative relation mining, product features and comparative opinions are extracted for competitiveness analysis, which is of interest to businesses for finding weakness or strength of products, as well as to consumers for making better purchase decisions.

Comparative relation mining could be possibly applied in social media for identifying relations among users or products, and ranking users or products, as well as helping companies target and track competitors to enhance competitiveness.

The authors propose a research framework for restaurant competitiveness analysis by mining comparative relations from online consumer reviews. The results would be able to differentiate one restaurant from another in some aspects of interest to consumers, and reveal the changes in these differences over time.

Extant methods of product weakness detection usually depend on time-consuming questionnaire with high artificial involvement, so the efficiency and accuracy are not satisfied. The purpose of this paper is to propose an opinion-aware analytical framework – PRODWeakFinder – to expect to detect product weaknesses through sentiment analysis in an effective way.

PRODWeakFinder detects product weakness by considering both comparative and non-comparative evaluations in online reviews. For comparative evaluation, an aspect-oriented comparison network is built, and the authority is assessed for each node by network analysis. For non-comparative evaluation, sentiment score is calculated through sentiment analysis. The composite score of aspects is calculated by combing the two types of evaluations.

The experiments show that the comparative authority score and the non-comparative sentiment score are not highly correlated. It also shows that PRODWeakFinder outperforms the baseline methods in terms of accuracy.

Semantic-based method such as ontology are expected to be applied to identify the implicit features. Furthermore, besides PageRank, other sophisticated network algorithms such as HITS will be further employed to improve the framework.

The link-based network is more suitable for weakness detection than the weight-based network. PRODWeakFinder shows the potential on reducing overall costs of detecting product weaknesses for companies.

A quicker and more effective way would be possible for weakness detection, enabling to reduce product defects and improve product quality, and thus raising the overall social welfare.

An opinion-aware analytical framework is proposed to sentiment mining of online product reviews, which offer important implications regarding how to detect product weaknesses.

In the recent international scenario, the rise of emerging economies, in particular, Brazil, Russia, India, China and South Africa (BRICS) has gained ample of attention. The global trade flows of the BRICS countries have significantly increased during the last one-and-a-half decade. The purpose of this paper is to examine the intra-BRICS and BRICS–EU trade flows.

To study the intensity of trade among BRICS countries and with EU, the Trade Intensity Index is employed for the period 2001–2015. Balassa’s revealed comparative advantage (RCA) index is computed for the assessment of comparative advantages of exports by BRICS countries in the year 2015 in the global markets. A comparative analysis of export similarity is done for India and other BRICS countries in EU.

The findings of trade intensity showed large bilateral trade flows among BRICS member. Russia has emerged as the main trading partner with EU in BRICS. For the year 2015, the comparative study of RCA at HS-two digits and HS-four digits classification highlights marginal structural changes in the export composition of these countries. The analysis revealed that Brazil and Russia have comparative advantages in natural resource-based products, while India and China possessed comparative advantages in manufactured and processed products. The export similarity index shows the presence of competition between India and China in EU.

This paper highlights the need for closer cooperation to promote intra-BRICS trade and to make structural transformations in the basket of trading products by them to have trade benefits at large.

Numerous studies are available on bilateral trade of BRICS members. However, limited studies are available to get a holistic view of intra-BRICS trade. This paper is an attempt to examine the BRICS countries trade profile both at global levels and within the group.

This paper seeks to address the recent challenges in the international human resource development (HRD) research and the related methodological strategy.

This inquiry is based on a survey of literatures and integrates various comparative research strategies adopted in other major social science disciplines.

Based on comparative strategies found in other disciplines, the authors propose a framework to advance comparative HRD research and theory development.

The proposed framework emphasizes methodological consistency in HRD research and improving the relevance and rigor in theory development. It also highlights the required qualities of comparative researchers.

This is an initial effort in analyzing the emerging comparative HRD literature for an alternative framework to advance methodological research on HRD theory building.

The purpose of this paper is to provide a review of hospitality and tourism studies that have used social media analytics to collect, examine, summarize and interpret “big data” derived from social media. It proposes improved approaches by documenting past and current analytic practice addressed by the selected studies in social media analytics.

Studies from the past 18 years were identified and collected from five international electronic bibliographic databases. Social media analytics-related terms and keywords in the titles, keywords or abstracts were used to identify relevant articles. Book chapters, conference papers and articles not written in English were excluded from analysis. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) guided the search, and Stieglitz and Dang-Xuan’s (2013) social media analytics framework was adapted to categorize methods reported in each article.

The research purpose of each study was identified and categorized to better understand the questions social media analytics were being used to address, as well as the frequency of each method’s use. Since 2014, rapid growth of social media analytics was observed, along with an expanded use of multiple analytic methods, including accuracy testing. These factors suggest an increased commitment to and competency in conducting comprehensive and robust social media data analyses. Improved use of methods such as social network analysis, comparative analysis and trend analysis is recommended. Consumer-review networks and social networking sites were the main social media platforms from which data were gathered; simultaneous analysis of multi-platform/sources of data is recommended to improve validity and comprehensive understanding.

This is the first systematic literature review of the application of social media analytics in hospitality and tourism research. The study highlights advancements in social media analytics and recommends an expansion of approaches; common analytical methods such as text analysis and sentiment analysis should be supplemented by infrequently used approaches such as comparative analysis and spatial analysis.

本文对酒店旅游学科中采用社交媒体数据分析的文献进行梳理。本文通过审阅其相关分析方法的文献来提出分析方法的改进策略。

样本数据包括过去18年中五个国际在线文献索引库中的文献。搜索通过标题、关键词、或者摘要中出现社交媒体数据分析等相关字样的文章。书章节、会议文章、以及非英文文章未被收录在索引中。系统回顾和文献综述的方法（PRISMA）指导本文文献索引, Stieglitz和Dang-Xuan（2013）社交媒体数据分析框架作为本文文献分类的方法。

本文汇报了每篇文献的研究目的以及系统归类以更好理解社交媒体数据分析的研究问题以及每种方法的使用频率。自2014年起, 社交媒体数据分析快速增长, 以及其他相关分析方法, 包括精度测试（accuracy testing）。这些结果表明更多全面、稳定的分析方法需求增强以及竞争激烈。本文推荐使用改良方法, 比如社交网络分析法、比较分析、趋势分析等。消费者评价网络和社交网站成为主要社交媒体网络数据的提供平台。本文推荐多源数据应该同步分析以提高有效性和全面性的理解。

本文是首篇酒店旅游领域中对社交媒体数据分析的系统文献回顾型文章。本文强调了社交媒体数据分析的先进性以及扩展其方法的全面性；常见分析方法比如文本分析和情感分析应该结合非常见的分析方法比如比较分析法和空间分析法进行系统分析。

关键词 – 关键词 对比分析, 情感分析, 用户原创内容,社交媒体分析, 主题模型, 空间分析, 文本分析文章类型 文献综述

The purpose of this paper is to characterize sustainable development and sustainability as study objects for comparative management theory.

The primary objective of this paper is to characterize sustainable development and sustainability as study objects for comparative management theory.

Analytical dimensions were related to establishing three proposals, which represent possible theoretical routes for characterizing sustainable development and sustainability as study objects for comparative management theory. A framework which illustrates the theoretical route taken to develop these proposals is presented at the end of the theoretical-analytical discussions.

This paper considers that discussion about sustainable development, sustainability and comparative management theory, as interesting themes for organizational studies, lack epistemological clarity and theoretical depth. Such shortcomings are identified based upon the difficulty in identifying ontological postures, epistemological perspectives, dominant paradigms and conceptual approaches that enable greater coherence to analysis of these themes, and also support the undertaking of research that can contribute to enriching proposals related to comparative management theory.

This is an innovative paper as it relates comparative management theory approaches with structural concepts from sustainable development and sustainability developed using contributions from organizational theories, sociological reflections, and political science. The proposed characterization is intended to blaze new and alternative epistemological paths for adding greater rigor to empirical research focussed on the relationship investigated here in a theoretical context.

Defines the term “comparative marketing” as a type of analysis which describes and interprets the differences and similarities between varying marketing practices and systems in two or more different countries or societies. Looks at the growth of international marketing and then goes on to examine various models of marketing. Provides a framework for comparative analysis, suggesting that effective comparative marketing analysis extends our knowledge of the interaction between social and business values and this helps to provide a more relevant marketing concept.

This paper states the case for adopting a comparative method of analysis to the study of enterprise education. Adopting a comparative approach can provide fresh insights and opportunities for researching from different perspectives. It develops understanding of the concept by reexamining its origins and history. By default its purpose, development operation and rationale are also briefly discussed through reference to literature and policy.

This paper draws on the literature around enterprise and entrepreneurship education. It argues that comparative analysis of enterprise education is an important methodological tool that can enrich, deepen and inform research processes, findings and outcomes. Comparative analysis can take a number of forms and can include within country, cross-country, historical, temporal, longitudinal, spatial, pedagogical, policy or other types of comparison.

This paper unpacks and teases out some of the points of difference and similarity between enterprise education concepts, policies and practices; and the way they are introduced to, applied and operate in different contexts. The main focus and point for comparison is the UK. Enterprise education is distinct from and should not be confused with business and economics. Teacher training in the techniques of enterprise education and resources designed to suit social and cultural requirements is crucial to achieve successful project outcomes.

The comparative analysis of enterprise education programmes and policies advocated here adds value and provides additional insight to these concepts and practices.

Considers various approaches to the study of comparative marketing, suggesting methodology that provides an adequate framework on which to base comparative domestic marketing studies. States the first objective here is to explore various definitions of the term ‘comparative marketing’ to place the area of study in its rightful place; second, is to suggest a methodology provide an adequate framework on which to base domestic comparative marketing studies. Proposes that if improvement in the state of knowledge is to take place, commonality of terminology and methodology must first be established. Concludes that information provided gives the background necessary to achieve desirable objectives.

The purpose of this paper is to map the evidence provided on the review types, and explain the challenges faced by classification techniques in sentiment analysis (SA). The aim is to understand how traditional classification technique issues can be addressed through the adoption of improved methods.

A systematic review of literature was used to search published articles between 2002 and 2014 and identified 24 papers that discuss regular, comparative, and suggestive reviews and the related SA techniques. The authors formulated and applied specific inclusion and exclusion criteria in two distinct rounds to determine the most relevant studies for the research goal.

The review identified nine practices of review types, eight standard machine learning classification techniques and seven practices of concept learning Sentic computing techniques. This paper offers insights on promising concept-based approaches to SA, which leverage commonsense knowledge and linguistics for tasks such as polarity detection. The practical implications are also explained in this review.

The findings provide information for researchers and traders to consider in relation to a variety of techniques for SA such as Sentic computing and multiple opinion types such as suggestive opinions.

Previous literature review studies in the field of SA have used simple literature review to find the tasks and challenges in the field. In this study, a systematic literature review is conducted to find the more specific answers to the proposed research questions. This type of study has not been conducted in the field previously and so provides a novel contribution. Systematic reviews help to reduce implicit researcher bias. Through adoption of broad search strategies, predefined search strings and uniform inclusion and exclusion criteria, systematic reviews effectively force researchers to search for studies beyond their own subject areas and networks.