Content Analysis between Quality and Quantity

Análise da obra de Pierre Bourdieu pelo método da mineração de texto, utilizando R

“…Com o aumento de material potencialmente adequado para construção de um corpus de pesquisa sendo disponibilizado de forma digital, seja pelos usos de redes sociais pelas pessoas, seja na forma de documentos eletrônicos pelos governos, e em paralelo com o desenvolvimento de algoritmos de detecção de estruturas semânticas que permitem a inclusão de contexto dentro de modelos linguísticos computacionais, houve um crescimento do uso de computadores na análise de textos de forma mais sofisticada, com isso temos ferramentas computacionais que saem "de uma contagem de palavras, para a extração de significado" [9]. Esse fenômeno abre uma possibilidade para pesquisadores das ciências sociais, como um novo campo para análise de conteúdo [10].…”

Understanding Topic Models in Context: A Mixed-Methods Approach to the Meaningful Analysis of Large Document Collections

“…Extant MMR endeavors have elaborated on quantitative assistance to qualitative analyses. For instance, Lemke et al [30] have proposed a blended reading approach. It builds on and integrates two approaches to analyzing textual data known from research in the humanities, namely close reading (i.e.…”

“…We position this paper towards this interest. Prior MMR in this field has already enriched our knowledge of how to provide quantitative assistance to qualitative analysis [25,30]. Yet, to the best of our knowledge, there is a lack of methodological clarity on the reverse scenario, i.e.…”

iLCM - A Virtual Research Infrastructure for Large-Scale Qualitative Data

“…These periods of time can be used to divide a collection into distinct sub-collections on which further comparative analyses such as co-occurrence analysis can be applied. In summary, the LCM allows for various combinations of the provided modules in creative ways which fit the research requirements of the end-users (Lemke et al, 2015). Information about the source collection, the selected analysis process and corresponding parameters for each analysis result are logged by the system in a way that allows for documentation of the conducted research.…”

“…Lexicometric methods such as keyword extraction, frequency-and co-occurrence analysis are already established and widely used in social science text analysis. Machine learning methods such as data-driven clustering of document collections using topic models (Blei, 2012;Stier et al, 2017) or the training of automatic classification methods for coding texts (Lemke et al, 2015;Stier et al, 2018;Posch et al, 2015;Wiedemann, 2018) begin outreaching into this field. As such applications of text mining help to combine qualitative and quantitative analysis perspectives, they are becoming increasingly relevant as a so-called "mixed methods" approach in the social sciences.…”