Search results

This paper proposes an approach to identify categorical influencers (i.e. influencers is the person who is active in the targeted categories) in social media channels. Categorical influencers are important for media marketing but to automatically detect them remains a challenge.

We deployed the emerging deep learning approaches. Precisely, we used word embedding to encode semantic information of words occurring in the common microtext of social media and used variational autoencoder (VAE) to approximate the topic modeling process, through which the active categories of influencers are automatically detected. We developed a system known as Categorical Influencer Detection (CID) to realize those ideas.

The approach of using VAE to simulate the Latent Dirichlet Allocation (LDA) process can effectively handle the task of topic modeling on the vast dataset of microtext on social media channels.

This work has two major contributions. The first one is the detection of topics on microtexts using deep learning approach. The second is the identification of categorical influencers in social media.

This work can help brands to do digital marketing on social media effectively by approaching appropriate influencers. A real case study is given to illustrate it.

In this paper, we discuss an approach to automatically identify the active categories of influencers by performing topic detection from the microtext related to the influencers in social media channels. To do so, we use deep learning to approximate the topic modeling process of the conventional approaches (such as LDA).

Service-oriented architecture is an emerging software architecture, in which web service (WS) plays a crucial role. In this architecture, the task of WS composition and verification is required when handling complex requirement of services from users. When the number of WS becomes very huge in practice, the complexity of the composition and verification is also correspondingly high. In this paper, the authors aim to propose a logic-based clustering approach to solve this problem by separating the original repository of WS into clusters. Moreover, they also propose a so-called quality-controlled clustering approach to ensure the quality of generated clusters in a reasonable execution time.

The approach represents WSs as logical formulas on which the authors conduct the clustering task. They also combine two most popular clustering approaches of hierarchical agglomerative clustering (HAC) and k-means to ensure the quality of generated clusters.

This logic-based clustering approach really helps to increase the performance of the WS composition and verification significantly. Furthermore, the logic-based approach helps us to maintain the soundness and completeness of the composition solution. Eventually, the quality-controlled strategy can ensure the quality of generated clusters in low complexity time.

The work discussed in this paper is just implemented as a research tool known as WSCOVER. More work is needed to make it a practical and usable system for real life applications.

In this paper, the authors propose a logic-based paradigm to represent and cluster WSs. Moreover, they also propose an approach of quality-controlled clustering which combines and takes advantages of two most popular clustering approaches of HAC and k-means.

Most digital libraries (DL) are now available online. They also provide the Z39.50 standard protocol which allows computer-based systems to effectively retrieve information stored in the DLs. The major difficulty lies in inconsistency between database schemas of multiple DLs. The purpose of this paper is to present a system known as Argumentation-based Digital Library Search (ADLSearch), which facilitates information retrieval across multiple DLs.

The proposed approach is based on argumentation theory for schema matching reconciliation from multiple schema matching algorithms. In addition, a distributed architecture is proposed for the ADLSearch system for information retrieval from multiple DLs.

Initial performance results are promising. First, schema matching can improve the retrieval performance on DLs, as compared to the baseline technique. Subsequently, argumentation-based retrieval can yield better matching accuracy and retrieval efficiency than individual schema matching algorithms.

The work discussed in this paper has been implemented as a prototype supporting scholarly retrieval from about 800 DLs over the world. However, due to complexity of argumentation algorithm, the process of adding new DLs to the system cannot be performed in a real-time manner.

In this paper, an argumentation-based approach is proposed for reconciling the conflicts from multiple schema matching algorithms in the context of information retrieval from multiple DL. Moreover, the proposed approach can also be applied for similar applications which require automatic mapping from multiple database schemas.

The purpose of this paper is to discuss sentiment search, which not only retrieves data related to submitted keywords but also identifies sentiment opinion implied in the retrieved data and the subject targeted by this opinion.

The authors propose a retrieval framework known as Cross-Domain Sentiment Search (CSS), which combines the usage of domain ontologies with specific linguistic rules to handle sentiment terms in textual data. The CSS framework also supports incrementally enriching domain ontologies when applied in new domains.

The authors found that domain ontologies are extremely helpful when CSS is applied in specific domains. In the meantime, the embedded linguistic rules make CSS achieve better performance as compared to data mining techniques.

The approach has been initially applied in a real social monitoring system of a professional IT company. Thus, it is proved to be able to handle real data acquired from social media channels such as electronic newspapers or social networks.

The authors have placed aspect-based sentiment analysis in the context of semantic search and introduced the CSS framework for the whole sentiment search process. The formal definitions of Sentiment Ontology and aspect-based sentiment analysis are also presented. This distinguishes the work from other related works.

“The world needs science, science needs women” is the message given by UNESCO in the program for the development of women in science” (UNESCO, 2017). In Vietnam, women’s participation and achievements in scientific research is considered a great and important resource for industrialization and modernization. Even so, are there gender differences in scientific achievement in the social science research institutes in Vietnam? What factors influence the scientific achievement of female social researchers? The answers will be based on data from a 2017 survey with a sample of 756 researchers, of which 77.6% were female. The survey was conducted by the Vietnam Academy of Social Sciences, a leading, ministry-level national center for the social sciences in Vietnam. This chapter analyzed the scientific achievements of researchers through their position as principal investigators of research projects and their publications, and factors that may impact this. Bivariate and multivariate analyses of factors that may affect the scientific achievement of researchers found that gender differences in academic achievement in the social sciences in Vietnam was still prevalent. Female researchers’ scientific achievements were lower than those of their male counterparts. The contribution to science of Vietnamese female researchers was limited by many different factors; the most important were the academic rank of the researchers and gender stereotype that considered housework the responsibility of women.

The paper aims to assess the impact of weather-induced shocks on household food consumption in the rural Vietnamese Mekong Delta (VMD) through the case of Long An province and evaluate the effectiveness of widely used coping strategies in mitigating weather-related shock impacts.

The system generalized method of moments (GMM) estimation method is applied to explore information on shock incidence, recovery, and time occurrences. The paper uses a sample of 272 repeated farming households from 5-wave survey data from 2008 to 2016, resulting in 1,360 observations.

The paper confirms the robust negative effect of a natural shock on food consumption. Additionally, using savings proves to be the most potent measure to smooth food consumption. Other favorable coping strategies are “getting assistance from relatives, friends” or “getting assistance from the Government, and non-government organizations (NGOs).” The mitigating effects are also traced in the current analysis.

Using caution when generalizing the results from Long An to the whole VMD is reasonable. The rather limited observations of coping strategies do not allow the authors to analyze any specific strategy.

The proposed approach employs the GMM technique and controls for endogenous coping strategies and thus provides accurate estimates of the effects of weather-related shocks and the mitigation effectiveness in the rural VMD.

Most of 823,000 ethnic Chinese people are living in Southern Vietnam among distinct dialectical groups. Each maintains its own pantheon of gods; the majority worships standardized Thien Hau. The Hakka in Buu Long are the only group that worships the craft-master gods. This difference creates a challenging gap between the subgroups and reveals the unorthodox nature of the Hakka’s traditions. The purpose of this paper is investigate the continuous efforts to achieve “evolving standardization” and solidarity through the charismatic efforts of the local Hakka elites in Buu Long by their liturgical transformation.

The study further discusses the multilateral interaction and hidden discourses by applying Watson’s (1985) theory of standardization and orthodoxy as well as Weller’s (1987) concept of context-based interpretation.

Truthfully, when facing pressures, the Hakka in Southern Vietnam decided to transform their non-standard worship of the craft masters into a more integrative model, the Thien Hau cult, by superimposing the new cult on the original platform without significant changes in either belief or liturgical practice. The performance shows to be the so-called “the caterpillar’s spirit under a butterfly’s might” case.

The transformation reveals that the Hakka are currently in their endless struggles for identity and integration, even getting engaged in a pseudo-standardization.

This Hakka’s bottom-up evolutionary standardization deserves to be responded academically and practically.

The paper begins with a setting of academic discussions by western writers in this area and then moves on to what makes the practical transformation, how does it happen, and what discourses are hidden underneath.

This study aims to investigate the rate of print material deterioration at the Learning Resource Center – a university at the Mekong Delta and identify users’ behaviors that may harm library materials, thereby presenting some potential solutions to enhance librarianship students’ awareness of preservation.

The research is based on Walker’s (2003) conceptual framework of preservation and that of education and propaganda from awareness development. Using a quantitative approach, 25-item questionnaire was delivered to 133 sophomores and seniors and analyzed by SPSS software. Qualitative data from the open-ended question were recorded and analyzed by themes.

The findings from this study show that the rate of print material deterioration at the Learning Resource Center was relatively low compared to that of other libraries in the nation and in the world. In addition, students’ knowledge about how to make the photocopies, as well as how much to open the book, is limited. The most important reason is because of lack of education from school and the library. The research also proposed some effective and realizable solutions to enhance librarianship students’ awareness of preservation of the materials at Learning Resource Center of a Mekong Delta university, Vietnam.

This research provides library staff and users, especially librarianship students, with an awareness of the important role of book preservation, human behavior of library collections and potential preventive ways of book damage. This study also specifies evidence that library lecturers should include ethical issues in their lectures because librarianship students still have limited knowledge of book preservation. By doing so, these actions may motivate librarianship students to continue to learn and apply their knowledge of preservation into library materials and their own documents. Furthermore, the finding of the library work punishment contributes to better understanding of library labor force and students’ personality education. The findings can serve as a reference to educating other users in Vietnam and globally.

The level of print material deterioration at the Learning Resource Center of a Mekong Delta university, Vietnam and library work punishment were observed to be the most important findings with regard to library preservation in a particular library in Southeast Asian country. These findings provide insights into students’ awareness of preservation, not yet discussed in the literature.

Agricultural systems in Mekong Delta have transformed to cope with climate change. Various researches pointed out that integrated agriculture-aquaculture (IAA) farming systems (i.e., rice-shrimp, rice-fish…) emerged as potential climate adaptive practices. However, limited studies are attempting to assess the sustainability of these agricultural practices. Therefore, it is essential to assess whether or not these systems will be sustainable in the context of climate change and what can be done to make it sustainable. The present study conducted the sustainability assessment of the rice-shrimp system to identify potential areas for improvement as well as policy implication to increase resilience and adaptation of coastal IAA system which could contribute to the understanding of other coastal agricultural deltas around the globe.

This study used a quantitative approach including the assessment protocol of van Asselt et al. (2014), the assessment framework of Vanloon et al. (2005), and the MCA methodology to flexibly and holistically assess the sustainability level of agricultural systems.

Results concluded that rice-shrimp systems have the potential to improve livelihood, food security, and adaptation of coastal farmers. Major improvements should be considered for productivity, efficiency, and equity themes, while minor improvements can be made for stability, durability, and compatibility themes.

This research could be used as a guideline for sustainability assessment in a context-specific case study of IAA, which showed a potential for the application of other climate-smart IAAs in similar contexts around the globe.