scholarly journals Embo: a Python package for empirical data analysis using the Information Bottleneck

2021 ◽  
Vol 9 ◽  
Author(s):  
Eugenio Piasini ◽  
Alexandre L. S. Filipowicz ◽  
Jonathan Levine ◽  
Joshua I. Gold
Keyword(s):  
Data Analysis ◽  
Empirical Data ◽  
Information Bottleneck ◽  
Empirical Data Analysis ◽  
Python Package

Introduction to Empirical Data Analysis

2021 ◽  
pp. 1-54
Author(s):  
Klaus Backhaus ◽  
Bernd Erichson ◽  
Sonja Gensler ◽  
Rolf Weiber ◽  
Thomas Weiber
Keyword(s):  
Data Analysis ◽  
Empirical Data ◽  
Empirical Data Analysis

Storm-coverage effect on dynamic flood-frequency analysis: empirical data analysis

2004 ◽  
Vol 18 (1) ◽  
pp. 159-178 ◽  
Author(s):  
Jangwon Moon ◽  
Joong-Hoon Kim ◽  
Chulsang Yoo
Keyword(s):  
Data Analysis ◽  
Frequency Analysis ◽  
Empirical Data ◽  
Flood Frequency ◽  
Flood Frequency Analysis ◽  
Empirical Data Analysis

scholarly journals Stance Taking in Social Media: the Analysis of the Comments About Us Presidential Candidates on Facebook and Twitter

Verbum ◽  
2018 ◽  
Vol 9 ◽  
pp. 21-30
Author(s):  
Roma Kriaučiūnienė ◽  
Jefferey La Roux ◽  
Miglė Lauciūtė
Keyword(s):  
Social Networks ◽  
Data Analysis ◽  
Empirical Data ◽  
Presidential Election ◽  
The United States ◽  
Online Environment ◽  
Presidential Candidates ◽  
Du Bois ◽  
Empirical Data Analysis ◽  
The Many

[full article and abstract in English] The subject of the paper is the analysis of the expression of stance taking in an online environment, mainly in the comments of users of social networks such as Facebook and Twitter about the presidential candidates of the American Presidential Election in 2016. The empirical data analysis was carried out following the ideas of J. W. Du Bois (2007), D. Barton & C. Lee (2013) and R. Englebretson (2007) on stance taking and J. W. Du Bois’ (2007) model of stance triangle, i.e. grouping instances of stance-taking into one of these groups: evaluation, affect or epistemicity, which served as the main framework of this study. The work of linguists D. Barton & C. Lee (2013) on the expression of stance-taking in an online environment were also taken into consideration. Having in mind the fact that stance identification is a challenging task , i.e. it could be implicitly as well as explicitly expressed and that it should be inferred from different modes of its expression and interpreted with reference to many contextual and intertextual factors, in the current analysis the authors focused on interpretation of linguistic as well as other multimodal means of the expression of stance that were used by users of social networks in their writing spaces on the topic of the Presidential Election in the United States in 2016. It should also be mentioned that the analysis presented in this article offers only one of the many possible interpretations of the data. Moreover, the current paper concentrates mainly on the presentation of the empirical data of the expression of affective stance. However, it should be indicated that in some cases stance types overlap, i.e. one instance could be treated as both taking an affective and an evaluative stance, as judgements and evaluation (i.e. evaluative stance) are often based on feelings (i.e. affective stance). The main source of the empirical data were the instances of stance taking taken from comments found on Donald Trump’s and Hillary Clinton’s verified Facebook and Twitter pages during their presidential campaigns in 2016. All in all, 147 examples of posts and comments from the social networks Facebook and Twitter were collected: 72 comments incorporating stance taking on Donald Trump‘s posts, and 75 comments including stance taking on Hillary Clinton‘s posts. The results of the empirical data analysis showed that the affective stance was expressed by linguistic as well as multimodal means.

scholarly journals Ethnic and Regional Identity in Polish Part of Spiš Region (On the Example of Jurgów Village)

2014 ◽  
Vol 14 (1) ◽  
pp. 78-94
Author(s):  
Vojtech Bagín
Keyword(s):  
Data Analysis ◽  
Social Interaction ◽  
Empirical Data ◽  
Local Population ◽  
Regional Identity ◽  
Empirical Data Analysis ◽  
Village Population

ABSTRACT In my study I am focusing on the issue of national and regional identity of Spiš region inhabitants. The researched Jurgów village belongs to territory situated on the frontier between two states and at the same time between two regions. In the study I analyze the question of stereotypes present in the locality concerning gorals from the neighbouring Podhale region and Slovak part of Spiš region. In addition to that I deal with analysis of importance and understanding of space and border for the identity of local population. On the basis of the empirical data analysis results I observe that the identity of the researched village population is shaped by the fact that it belongs to the frontier territory where crossborder cultural and social interaction occurs.

Inferring the Structure of AERA from Empirical Data Analysis

1973 ◽  
Vol 2 (12) ◽  
pp. 5-9 ◽  
Author(s):  
LAWRENCE T. FRASE
Keyword(s):  
Data Analysis ◽  
Empirical Data ◽  
Empirical Data Analysis

scholarly journals Forecasting COVID-19 Confirmed Cases Using Empirical Data Analysis in Korea

Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 254
Author(s):  
Da Hye Lee ◽  
Youn Su Kim ◽  
Young Youp Koh ◽  
Kwang Yoon Song ◽  
In Hong Chang
Keyword(s):  
Data Analysis ◽  
Empirical Data ◽  
Moving Average ◽  
Arima Model ◽  
Third Wave ◽  
Cumulative Number ◽  
Control And Prevention ◽  
Empirical Data Analysis ◽  
The Government ◽  
Increasing Trends

From November to December 2020, the third wave of COVID-19 cases in Korea is ongoing. The government increased Seoul’s social distancing to the 2.5 level, and the number of confirmed cases is increasing daily. Due to a shortage of hospital beds, treatment is difficult. Furthermore, gatherings at the end of the year and the beginning of next year are expected to worsen the effects. The purpose of this paper is to emphasize the importance of prediction timing rather than prediction of the number of confirmed cases. Thus, in this study, five groups were set according to minimum, maximum, and high variability. Through empirical data analysis, the groups were subdivided into a total of 19 cases. The cumulative number of COVID-19 confirmed cases is predicted using the auto regressive integrated moving average (ARIMA) model and compared with the actual number of confirmed cases. Through group and case-by-case prediction, forecasts can accurately determine decreasing and increasing trends. To prevent further spread of COVID-19, urgent and strong government restrictions are needed. This study will help the government and the Korea Disease Control and Prevention Agency (KDCA) to respond systematically to a future surge in confirmed cases.

scholarly journals IMAGEM E IMPRENSA NA AMAZÔNIA: a configuração da fotografia no jornal Estado do Pará

2016 ◽  
Vol 2 (5) ◽  
pp. 121
Author(s):  
Netilia Silva dos Anjos Seixas ◽  
Thaís Christina Coelho Siqueira
Keyword(s):  
Data Analysis ◽  
Empirical Data ◽  
Exploratory Study ◽  
The State ◽  
Photographic Images ◽  
Graphic Presentation ◽  
Palabras Clave ◽  
The Press ◽  
Erwin Panofsky ◽  
Empirical Data Analysis

Este estudo busca contribuir para o entendimento da trajetória da fotografia nos jornais paraenses, a partir de um dos principais impressos do Estado, o Estado do Pará (1911-1980). Trata-se de um estudo exploratório, com base em pesquisa bibliográfica, documental e análise dos dados empíricos, usando os métodos iconográfico e iconológico, de Erwin Panofsky e Boris Kossoy. Foram observadas as fotografias publicadas em 1912, quando uma das primeiras fotografias jornalísticas foi encontrada no impresso, 1920, 1960 e 1980, nos meses de janeiro, abril, julho e outubro, correspondendo a cerca de 30 por cento do total de edições de cada ano selecionado. O jornal Estado do Pará iniciou sua edição com apresentação gráfica inovadora, destacando-se, mais tarde, com a publicação de imagens fotográficas e participando do estabelecimento da imprensa na Amazônia.   PALAVRAS-CHAVE: Fotografia de imprensa; Jornal Estado do Pará; Amazônia.     ABSTRACT This study seeks to contribute to the understanding of the trajectory of photography in the newspapers of Pará, from one of the main printed forms of the country, the State of Pará (1911-1980). It is an exploratory study, based on bibliographical research, documentary and empirical data analysis, using the iconographic and iconological methods of Erwin Panofsky and Boris Kossoy. Photographs published in 1912 were observed, when one of the first journalistic photographs was found on the press, 1920, 1960 and 1980, in the months of January, April, July and October, corresponding to about 30 percent of the total editions of each year selected. The newspaper Estado do Pará began its edition with an innovative graphic presentation, highlighting, later, with the publication of photographic images and participating in the establishment of the press in the Amazon.   KEYWORDS: Press photography; Newspaper Estado do Pará; Amazon.     RESUMEN Este estudio pretende contribuir a la comprensión de la fotografía en los periódicos de Pará, a partir de uno de los principales periódicos del Estado, el Estado do Pará (1911-1980). Se trata de un estudio exploratorio, basado en la investigación bibliográfica y documental y el análisis de los datos empíricos, utilizando los métodos iconográfico e iconológico, de Erwin Panofsky y Boris Kossoy. Fueran observadas las fotografías publicadas en 1912, cuando una de las primeras fotografías de prensa fue vista en el periódico, 1920,1960 y 1980, en enero, abril, julio y octubre, lo que corresponde a aproximadamente el 30 por ciento de la historia total de cada año seleccionado. El periódico Estado do Pará empezó su edición con diseño innovador, poniendo de relieve, más tarde, con la publicación de las imágenes fotográficas y participando en la creación de prensa en la Amazonia.   PALABRAS CLAVE: Fotografía de prensa; Estado do Pará; Amazonia.  

scholarly journals Leasing as an effective tool for agricultural financing: within the example of Armenia

2021 ◽  
Vol 206 (03) ◽  
pp. 81-91
Author(s):  
Aram Mhitaryan
Keyword(s):  
Data Analysis ◽  
Quantitative Analysis ◽  
Empirical Data ◽  
Rural Areas ◽  
Agricultural Development ◽  
Public Awareness ◽  
Financing System ◽  
Banking Institutions ◽  
Empirical Data Analysis

Abstract. Through the decades’ Armenian agriculture doesn’t have sufficient growth. Technologies and methodology used by farmers are not sufficient for modern production creation. Financing system of rural areas are less effective as lack of stable income and low-price collateral doesn’t let banking institutions to actively finance the sector. The main purpose of this study is to define problems of agricultural financing and determine leasing as an effective tool for agricultural financing. Methodology of this study is based on quantitative analysis among farmers and other borrowers to take out leasing role in financing process and other relevant issues. Empirical data analysis of different countries’ experience and survey among local rural habitants were made to identify the most effective tools of agricultural financing. As a result, lack of effective financial and technological assistance has identified as an obstacle of agricultural development in Armenia. The importance of agriculture in the development of the country's economy was substantiated. The importance of public awareness in increasing the applicability of leasing has been identified. As a scientific novelty, the thesis of leasing as an effective financial tool for agricultural lending has been proven. The specifics of leasing efficiency for agricultural lending are explained. Absence of collateral as the only advantage of leasing was rejected.

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