نتایج جستجو برای: thematic clustering

تعداد نتایج: 128400  

Journal: :education policy analysis archives 1995

Journal: :DEStech Transactions on Social Science, Education and Human Science 2019

Journal: :Annual Meeting of the Berkeley Linguistics Society 1986

Journal: :Indo-European Linguistics 2013

Journal: :Higher Education in Russia 2018

2006
Victoria Clarke

Thematic analysis is a poorly demarcated, rarely acknowledged, yet widely used qualitative analytic method within psychology. In this paper, we argue that it offers an accessible and theoretically flexible approach to analysing qualitative data. We outline what thematic analysis is, locating it in relation to other qualitative analytic methods that search for themes or patterns, and in relation...

Journal: : 2023

Modern research in the field of sociology science is becoming more complicated due to constantly growing publication activity authors. To track trends sectoral sociology, scientists turn scientometric methods, but they are not enough. Trends development values as a branch subject study. The purpose work an assessment possibilities using natural language analysis methods (NLP/NLA) for thematic a...

2010
Daniel R. Kimball William J. Muntean Troy A. Smith

Psychonomic Society Publications disclaims any responsibility or liability for errors in this manuscript.

Journal: :J. Informetrics 2011
Manolo J. Cobo Antonio Gabriel López-Herrera Enrique Herrera-Viedma Francisco Herrera

This paper presents an approach to analyze the thematic evolution of a given research field. This approach combines performance analysis and sciencemapping for detecting and visualizing conceptual subdomains (particular themes or general thematic areas). It allows us to quantify and visualize the thematic evolution of a given research field. To do this, coword analysis is used in a longitudinal...

Journal: :journal of computer and robotics 0
tahereh esmaeili abharian faculty of computer and information technology engineering, qazvin branch, islamic azad university, qazvin, iran mohammad bagher menhaj department of electrical engineering amirkabir university of technology, tehran, iran

knowing the fact that the main weakness of the most standard methods including k-means and hierarchical data clustering is their sensitivity to initialization and trapping to local minima, this paper proposes a modification of convex data clustering  in which there is no need to  be peculiar about how to select initial values. due to properly converting the task of optimization to an equivalent...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید