scholarly journals Text Analysis with JSTOR Archives

2018 ◽  
Vol 4 ◽  
pp. 237802311880926
Author(s):  
John A. Bernau
Keyword(s):  
Social Sciences ◽  
Text Analysis ◽  
Visual Representation ◽  
Text Data ◽  
The Social ◽  
Using Data ◽  
Sociology Journals

I provide a visual representation of keyword trends and authorship for two flagship sociology journals using data from JSTOR’s Data for Research repository. While text data have accompanied the digital spread of information, it remains inaccessible to researchers unfamiliar with the required preprocessing. The visualization and accompanying code encourage widespread use of this source of data in the social sciences.

scholarly journals Determining the proximity of groups in social networks based on text analysis using big data

2019 ◽  
pp. 521-526
Author(s):  
A S Mukhin ◽  
I A Rytsarev ◽  
R A Paringer ◽  
A V Kupriyanov ◽  
D V Kirsh
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Social Network ◽  
Data Collection ◽  
Text Analysis ◽  
Software Tool ◽  
Text Data ◽  
The Social ◽  
Information Research ◽  
Definition Of

The article is devoted to the definition of such groups in social networks. The object of the study was selected data social network Vk. Text data was collected, processed and analyzed. To solve the problem of obtaining the necessary information, research was conducted in the field of optimization of data collection of the social network Vk. A software tool that provides the collection and subsequent processing of the necessary data from the specified resources has been developed. The existing algorithms of text analysis, mainly of large volume, were investigated and applied.

scholarly journals An Enhanced Approach for Using Data Visualization for Sentiment Analysis and Auto Summarization Data

2018 ◽  
Vol 12 (9) ◽  
pp. 190
Author(s):  
Osama Mohammad Rababah ◽  
Esra F. Alzaghoul ◽  
Hussam N. Fakhouri
Keyword(s):  
Sentiment Analysis ◽  
Data Visualization ◽  
Full Text ◽  
Visual Representation ◽  
The Other ◽  
The Internet ◽  
Original Text ◽  
Text Data ◽  
Data Summarization ◽  
Using Data

With the rapid increase in the size of the data over the internet there is a need for new studies for text data summarization and representation; rather than storing the full text or reading the full text we can store and read a summary that represent the original text. Furthermore, there is a need also to represent the summarized text with visual representation; one picture worth ten thousandwords. In this paper we propose an approach for visual representation of the summarized text;visual resources give creative control over how message is perceived andprovide a faster way to know what where the text about.This approach were implemented and tested on a sample of two datasets one of 50 texts and the other dataset of 80 positive and negative movie comments, the evaluation has been done visually and the percent of success cases has been reported, the precision and recall has been calculated.

scholarly journals Methods for Classification of Text Data: Can the Potential of Quantitative Analysis Be Applied to Qualitative Research?

Inter ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 81-96
Author(s):  
Marina Aleksandrova
Keyword(s):  
Social Sciences ◽  
European Social Survey ◽  
Research Field ◽  
Item Nonresponse ◽  
Text Data ◽  
Social Survey ◽  
The Social ◽  
Textual Data ◽  
Analysis Of Results

Text mining has developed rapidly in recent years. In this article we compare classification methods that are suitable for solving problems of predicting item nonresponse. The author builds reasoning about how the analysis of textual data can be implemented in a wider research field based on this material. The author considers a number of metrics adapted for textual analysis in the social sciences: accuracy, precision, recall, F1-score, and gives examples that can help a sociologist figure out which of them is worth paying attention depending on the task at hand (classify text data with equal accuracy, or more fully describe one of the classes of interest). The article proposes an analysis of results obtained by analyzing texts based on the materials of the European Social Survey (ESS).

scholarly journals Textlinguistik und Übersetzungswissenschaft – Entwicklung und Interaktion

2021 ◽  
Vol 1 ◽  
Author(s):  
Peter Holzer
Keyword(s):  
Social Sciences ◽  
Text Analysis ◽  
Translation Studies ◽  
Attractive Potential ◽  
Text Linguistics ◽  
The Social ◽  
The Future ◽  
Text Cohesion

Since the beginning of the 1980s the categories of text linguistics have played an increasingly important role in both theoretical and applied translation studies. They have attracted more and more attention in the course of attempts to establish a translation-oriented text theory and text analysis for teaching purposes. In this context translation studies have been able to make a useful contribution to the linguistic debate on text cohesion and coherence and have in turn greatly benefited from that debate. At the same time, through contact with other disciplines, inclu¬ding the social sciences and cultural sciences, translation studies have helped to generate new aspects in text linguistics and to extend its hori¬zons. Today text linguistics and translation studies exist in a form of symbiosis that has attractive potential for the future.

Visualizing the Reality of Educational Research Participants Using an Amalgamation of Grounded and Positioning Theories

2019 ◽  
Vol 6 (2) ◽  
pp. 141-157 ◽  
Author(s):  
Mark McCrohon ◽  
Ly Thi Tran
Keyword(s):  
Social Sciences ◽  
Educational Research ◽  
Qualitative Data ◽  
Visual Representation ◽  
Structured Interviews ◽  
Stepwise Approach ◽  
Research Participants ◽  
Ideal Candidate ◽  
The Social ◽  
Ontological Reality

This article discussed the development of a framework that visualizes the ontological reality of educational research participants that is incumbent on existing grounded and positioning theories. The proposed framework constructs the ontological reality of participants from qualitative data collected in semi-structured interviews. This framework results in a visual representation of the educational participant’s reality. The article discussed how the use of versioning improves the auditability and replicability of the framework. The stepwise approach of this framework makes it an ideal candidate for automation, desirable to an emerging generation of qualitative researchers from the social sciences, including education and nursing.

scholarly journals Visualization of Disciplinary Profiles: Enhanced Science Overlay Maps

2017 ◽  
Vol 2 (3) ◽  
pp. 68-111 ◽  
Author(s):  
Stephen Carley ◽  
Alan L. Porter ◽  
Ismael Rafols ◽  
Loet Leydesdorff
Keyword(s):  
Social Sciences ◽  
Science Citation Index ◽  
Web Of Science ◽  
Citation Index ◽  
Science Citation ◽  
Journal Citation Reports ◽  
The Social ◽  
Using Data ◽  
Social Sciences Citation Index ◽  
Journal Citation

Abstract Purpose The purpose of this study is to modernize previous work on science overlay maps by updating the underlying citation matrix, generating new clusters of scientific disciplines, enhancing visualizations, and providing more accessible means for analysts to generate their own maps. Design/methodology/approach We use the combined set of 2015 Journal Citation Reports for the Science Citation Index (n of journals = 8,778) and the Social Sciences Citation Index (n = 3,212) for a total of 11,365 journals. The set of Web of Science Categories in the Science Citation Index and the Social Sciences Citation Index increased from 224 in 2010 to 227 in 2015. Using dedicated software, a matrix of 227 × 227 cells is generated on the basis of whole-number citation counting. We normalize this matrix using the cosine function. We first develop the citing-side, cosine-normalized map using 2015 data and VOSviewer visualization with default parameter values. A routine for making overlays on the basis of the map (“wc15.exe”) is available at http://www.leydesdorff.net/wc15/index.htm. Findings Findings appear in the form of visuals throughout the manuscript. In Figures 1–9 we provide basemaps of science and science overlay maps for a number of companies, universities, and technologies. Research limitations As Web of Science Categories change and/or are updated so is the need to update the routine we provide. Also, to apply the routine we provide users need access to the Web of Science. Practical implications Visualization of science overlay maps is now more accurate and true to the 2015 Journal Citation Reports than was the case with the previous version of the routine advanced in our paper. Originality/value The routine we advance allows users to visualize science overlay maps in VOSviewer using data from more recent Journal Citation Reports.

Testing Social Science Network Theories with Online Network Data: An Evaluation of External Validity

2017 ◽  
Vol 111 (3) ◽  
pp. 502-521 ◽  
Author(s):  
JAMES BISBEE ◽  
JENNIFER M. LARSON
Keyword(s):  
Social Sciences ◽  
External Validity ◽  
Social Ties ◽  
Great Promise ◽  
Experimental Setting ◽  
Network Information ◽  
The Social ◽  
Using Data ◽  
Online Sources

To answer questions about the origins and outcomes of collective action, political scientists increasingly turn to datasets with social network information culled from online sources. However, a fundamental question of external validity remains untested: are the relationships measured between a person and her online peers informative of the kind of offline, “real-world” relationships to which network theories typically speak? This article offers the first direct comparison of the nature and consequences of online and offline social ties, using data collected via a novel network elicitation technique in an experimental setting. We document strong, robust similarity between online and offline relationships. This parity is not driven by sharedidentityof online and offline ties, but a shared nature of relationships in both domains. Our results affirm that online social tie data offer great promise for testing long-standing theories in the social sciences about the role of social networks.

scholarly journals Bourdieu: El impacto de una palabra en la investigación de las juventudes / Bourdieu: The impact of a word on youth research

2020 ◽  
Vol 5 (25) ◽  
pp. 170-178
Author(s):  
Ernesto Israel Santillán-Anguiano ◽  
Emilia Cristina González-Machado
Keyword(s):  
Social Sciences ◽  
Cultural Capital ◽  
Text Analysis ◽  
Pierre Bourdieu ◽  
The Social ◽  
Youth Research ◽  
Definition Of ◽  
The Impact ◽  
School Space

Este trabajo ofrece una serie de reflexiones sobre el texto La juventud no es más que una palabra presentada por Pierre Bourdieu en 1978. El principal objetivo de este documento es hacer evidente la vigencia de las ideas del sociólogo francés respecto a la construcción del concepto de juventud como categoría en las ciencias sociales. Para ello, se realizó un análisis de textos para profundizar las ideas asociadas a las desigualdades, el capital cultural, el habitus y el papel del espacio escolar. Como resultados más relevantes se pueden mencionar que: 1) La definición de la juventud es producto de la lucha intergeneracional y por lo tanto arbitraria; 2) el habitus juvenil garantiza la permanencia de la estructura social; 3) el capital cultural incorporado de los jóvenes se encuentra garantizado por el tiempo liberado; 4) el espacio escolar es un campo de privilegios que naturaliza las condiciones de ser joven. This work offers some reflections on the text Youth’ is Just a Word presented by Pierre Bourdieu in 1978. The objective of this document is to make evident the validity of the ideas of the French sociologist regarding the construction of the concept of youth as a category in the social sciences. For this, a text analysis was carried out to deepen the ideas associated with inequalities, cultural capital, habitus and the role of school space. As the most relevant results, it can be mentioned that: 1) The definition of youth is the product of intergenerational struggle and therefore arbitrary; 2) juvenile habitus guarantees the permanence of the social structure; 3) the incorporated cultural capital of young people is guaranteed by time released; 4) the school space is a field of privileges that naturalizes the conditions of being young.

Four Ways to Measure Culture: Social Science, Hermeneutics, and the Cultural Turn

2017 ◽  
Author(s):  
Craig Rawlings ◽  
John Mohr
Keyword(s):  
Social Sciences ◽  
Data Analysis ◽  
Text Analysis ◽  
Formal Models ◽  
Measurement Models ◽  
The Social ◽  
Different Types ◽  
Before And After ◽  
Measurement Practices ◽  
Cultural Turn

This article considers four of the ways in which measurement practices have been applied to create formal models of culture in the social sciences. It first examines the nature of formal measurement models in the social sciences and compares this mode of scholarship to more hermeneutic styles of research, paying attention to debates over method in the social sciences before and after the cultural turn. It then discusses four different types of formal (measurement) models that have been especially important to the cultural sciences over the last century: pre-cultural turn/non-hermeneutic, pre-cultural turn/hermeneutic, post-cultural turn/non-hermeneutic, and post-cultural turn/hermeneutic. It also cites an exemplar figure for each model, namely, Alfred Kroeber, Claude Lévi-Strauss, Paul DiMaggio, and Harrison White, respectively. Finally, it revisits the problem of how to conceptualize a scientific hermeneutics by comparing the theorization of the practice of data analysis to Paul Ricoeur’s theorization of the practice of text analysis.

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