Effective Combination of Bert Model and Cross-Sentence Contexts in Aspect Extraction

2021 ◽  
Author(s):  
Anh Khoi Le ◽  
Truong Son Nguyen
Keyword(s):  
Source Code ◽  
Product Reviews ◽  
Research Groups ◽  
Aspect Extraction ◽  
Testing Phase ◽  
Effective Combination

The Aspect Extraction (AE) field investigates in collecting words which are sentiment aspects in sentences and documents. Despite the pandemic, the number of products purchased online is still growing, which means that the number of product reviews and comments is also increasing rapidly, so the role of the task is gradually crucial. Extract aspects in the text is a difficult task, that requires algorithms capable of deep capturing the semantics of the text. In this work, we combine two models of the two research groups, with the first using the BERT algorithm with multiple concatenated layers and the second using the strategies to enrich the dataset by itself in the training or testing phase. The source code is available on github.com, researchers can run it through scripts, modify it for further research also. https://github.com/leanhkhoi/AE_BERT_CROSS_SENTENCES

The Role of Source Code Vocabulary in Programming Teaching and Learning

2020 ◽  
Author(s):  
Marcos Nascimento ◽  
Eliane Araujo ◽  
Dalton Serey ◽  
Jorge Figueiredo
Keyword(s):  
Teaching And Learning ◽  
Source Code

scholarly journals Robots as intelligent assistants to face COVID-19 pandemic

2020 ◽  
Author(s):  
Valeria Seidita ◽  
Francesco Lanza ◽  
Arianna Pipitone ◽  
Antonio Chella
Keyword(s):  
Technological Progress ◽  
World Economy ◽  
The State ◽  
Research Groups ◽  
Negative Effects ◽  
The World ◽  
Intelligent Assistants

Abstract Motivation The epidemic at the beginning of this year, due to a new virus in the coronavirus family, is causing many deaths and is bringing the world economy to its knees. Moreover, situations of this kind are historically cyclical. The symptoms and treatment of infected patients are, for better or worse even for new viruses, always the same: more or less severe flu symptoms, isolation and full hygiene. By now man has learned how to manage epidemic situations, but deaths and negative effects continue to occur. What about technology? What effect has the actual technological progress we have achieved? In this review, we wonder about the role of robotics in the fight against COVID. It presents the analysis of scientific articles, industrial initiatives and project calls for applications from March to now highlighting how much robotics was ready to face this situation, what is expected from robots and what remains to do. Results The analysis was made by focusing on what research groups offer as a means of support for therapies and prevention actions. We then reported some remarks on what we think is the state of maturity of robotics in dealing with situations like COVID-19.

scholarly journals A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaboration

Epidemiologia ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 315-324
Author(s):  
Juan M. Banda ◽  
Ramya Tekumalla ◽  
Guanyu Wang ◽  
Jingyuan Yu ◽  
Tuo Liu ◽  
...  
Keyword(s):  
Large Scale ◽  
Social Dynamics ◽  
Additional Data ◽  
Open Data ◽  
Data Sources ◽  
Research Projects ◽  
Research Groups ◽  
The World ◽  
Data Source

As the COVID-19 pandemic continues to spread worldwide, an unprecedented amount of open data is being generated for medical, genetics, and epidemiological research. The unparalleled rate at which many research groups around the world are releasing data and publications on the ongoing pandemic is allowing other scientists to learn from local experiences and data generated on the front lines of the COVID-19 pandemic. However, there is a need to integrate additional data sources that map and measure the role of social dynamics of such a unique worldwide event in biomedical, biological, and epidemiological analyses. For this purpose, we present a large-scale curated dataset of over 1.12 billion tweets, growing daily, related to COVID-19 chatter generated from 1 January 2020 to 27 June 2021 at the time of writing. This data source provides a freely available additional data source for researchers worldwide to conduct a wide and diverse number of research projects, such as epidemiological analyses, emotional and mental responses to social distancing measures, the identification of sources of misinformation, stratified measurement of sentiment towards the pandemic in near real time, among many others.

scholarly journals A Study on the Impact of R&D Intensity on Business Performance: Evidence from South Korea

2021 ◽  
Vol 7 (2) ◽  
pp. 135
Author(s):  
Hun Park ◽  
Jun-Hwan Park ◽  
Sujin Lee ◽  
Hyuk Hahn
Keyword(s):  
South Korea ◽  
Research And Development ◽  
Business Performance ◽  
Decision Makers ◽  
The Other ◽  
Research Groups ◽  
Innovative Firms ◽  
The Impact ◽  
Knowledge Services

The role of R&D (research and development) intensity on the effect of knowledge services on the business performance of firms has been discussed by using PLS-SEM and PLS-MGA methods. Research groups were divided into two groups, innovative and non-innovative. Respondents were classified into innovative firms if their R&D intensity was over 3% and vice versa. PLS-SEM and PLS-MGA results were compared for two groups and valuable insights were extracted. For innovative firms, knowledge services seemed to be verified and processed by the decision makers and utilized to achieve their business performance. On the other hand, a large number of non-innovative firms seemed to have a stronger tendency to utilize knowledge services directly for their business without sufficient verification by the decision makers.

Assessing the Unacquainted: Inferred Reviewer Personality and Review Helpfulness

MIS Quarterly ◽  
2021 ◽  
Vol 45 (3) ◽  
pp. 1113-1148
Author(s):  
Angela Xia Liu ◽  
◽  
Yilin Li ◽  
Sean Xu ◽  
◽  
...  
Keyword(s):  
Personality Traits ◽  
Supervised Classification ◽  
Large Population ◽  
Superior Performance ◽  
Product Reviews ◽  
Review Helpfulness ◽  
Personality Theories ◽  
Deep Learning Model ◽  
Practical Implications

This work examines the question of who is more likely to provide future helpful reviews in the context of online product reviews by synergistically using personality theories and data analytics. It trains a deep learning model to infer a reviewer’s personality traits. This enables analyses to reveal the role of personality traits in review helpfulness among a large population of reviewers. We develop hypotheses on how personality traits are associated with review helpfulness, followed by hypotheses testing that confirms that higher review helpfulness is related to higher openness, conscientiousness, extraversion, and agreeableness and to lower emotional stability. These results suggest the appropriateness of using these five personality traits as inputs for developing a model for predicting future review helpfulness. Based on an ensemble model using supervised classification algorithms, we develop a predictive model and demonstrate its superior performance. Theoretical and practical implications are discussed.

scholarly journals A política de fomento à pesquisa urbana: subsídios para uma avaliação das avaliações do CNPq

2002 ◽  
Vol 4 (1/2) ◽  
pp. 25
Author(s):  
Linda M. P. Gondim
Keyword(s):  
Ad Hoc ◽  
Evaluation Research ◽  
Scientific Production ◽  
Funding Agency ◽  
Research Groups ◽  
Advisory Committees ◽  
Research Grants ◽  
De Se ◽  
Classificatory System

Este trabalho discute aspectos dos processos decisórios do Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), relativos à concessão de bolsas de Produtividade em Pesquisa. Aborda o papel dos Comitês de Assessoramento e dos consultores ad hoc, considerando os critérios para a classificação de pesquisadores em níveis (1 e 2) e categorias (C, B e A), a partir da análise da produção científica nas áreas de Ciências Humanas e Sociais Aplicadas, registrada no Diretório dos Grupos de Pesquisa de 2002. Discute-se o formulário utilizado por consultores ad hoc, apontando-se a necessidade de uma melhor explicitação de critérios avaliativos de projetos de pesquisa, a fim de se obter decisões pautadas por maior rigor e objetividade.Palavras-chave: avaliação; fomento à pesquisa; pesquisa urbana. Abstract: This paper discusses aspects of evaluation processes concerning the concession of research grants by CNPq (Brazil’s funding agency for scientific research and technology). It approaches the role of advisory committees and ad hoc consultants, considering criteria applied to classify researchers in different ranks (1 and 2) and categories (C, B, and A). The discussion of this classificatory system is based on the analysis of researchers’ scientific production presented in the Directory of Research Groups, published in 2002. An analysis of the form used by ad hoc consultants is also presented, pointing out the need for spelling out the criteria applied to assess research proposals, in order to reach more rigorous and objective decisions. Keywords: evaluation; research funding; urban research. 

ERP Software Inspections and Audits

2020 ◽  
pp. 330-347 ◽  
Author(s):  
Julius Murumba ◽  
Jackson Kipchirchir Machii
Keyword(s):  
Engineering Practice ◽  
Product Reviews ◽  
Erp Systems ◽  
Software Inspections ◽  
Software Artifacts ◽  
Software Product ◽  
Review Mechanism ◽  
Erp Software ◽  
And Control

The role of software inspections, product reviews, walk-troughs, and audits in ERP software is analyzed in this chapter. Software inspections are a disciplined engineering practice for detecting and correcting defects in software artifacts with the aim of correcting them. Walkthroughs involve software peer review mechanism in which a programmer leads peers through a software product, in a process in which participants ask questions and make comments about possible errors, violation of development standards, and other problems. This chapter also discusses ERP systems audit and control risks and seeks to help understand key risks and control issues surrounding ERP systems.

scholarly journals EMU: reconfigurable graphical user interfaces for Micro-Manager

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Joran Deschamps ◽  
Jonas Ries
Keyword(s):  
Open Source Software ◽  
User Interfaces ◽  
Source Code ◽  
Graphical User Interfaces ◽  
Ease Of Use ◽  
Research Groups ◽  
Absolute Power ◽  
Biological Studies ◽  
Device Properties ◽  
Java Swing

Abstract Background Advanced light microscopy methods are key to many biological studies. Their ease of use depends, besides experimental aspects, on intuitive graphical user interfaces (GUI). The open-source software Micro-Manager offers a universal GUI for microscope control but requires implementing plugins to further tailor it to specific systems. However, GUIs are often tailored to a single system. Since even similar devices can have different Micro-Manager device properties, such as power percentage versus absolute power, directly transferring a GUI to another instrument usually requires changing the source-code. Results We developed Easier Micro-Manager User interface (EMU), a Micro-Manager plugin, to simplify building flexible and reconfigurable GUIs. EMU can be seamlessly used with the Java Swing library to create device-independent GUIs for Micro-Manager. Such GUIs are easily transferred to another microscope thanks to an intuitive configuration menu that includes mapping of the device properties to the GUI functionalities and customization of the graphical elements. We also provide resources such as user and programming guides, a tutorial and code examples. Conclusions Micro-Manager users now have a powerful tool to improve the user experience on their instruments. EMU GUIs can be easily configured for new microscopes and shared with other research groups. In the future, newly developed GUIs will be added to EMU to benefit the whole community.

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