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    • Added tools, methods authored by Gallenkamp, Fabian's avatar Gallenkamp, Fabian
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    MethodsList.asciidoc
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    ......@@ -15,7 +15,7 @@ In this project a more inclusive conception of digital methods is assumed: the p
    == data mining
    Refers to the complete process of 'knowledge mining from data'.<<Han_etal2012>> Can be applied on various data types and consists of different steps and paradigms.
    Refers to the complete process of 'knowledge mining from data'.<<Han_etal2012>> Can be applied on various data types and consists of different steps and paradigms. For an application in the context of text mining in the social science see the concept "blended-reading" (<<Stulpe_etal2016>>).
    === automated data collection
    ......@@ -135,6 +135,10 @@ Analyse statistical significant occurence of words/word-groups. Can also be comb
    Analyse statistical significant co-occurence of words in different contextual units.
    ===== context volatility
    'Analyse contextual change for certain words over a period of time.'(<<Niekler_etal2018>>,1316)
    ==== classification/machine learning
    Various techniques to (semi-)automatically identify specific classes.
    ......@@ -197,7 +201,7 @@ Visualize the mined informations.
    ==== dynamic visualizations
    Visualizations with user interaction or time frames.
    Visualizations with user interaction or animations.
    == science practice
    ......@@ -281,6 +285,8 @@ Using methods to predict the future for estimation of current values. (Example:
    - [[[Maier_etal2018]]] Maier, D., Waldherr, A., Miltner, P., Wiedemann, G., Niekler, A., Keinert, A., . . . Adam, S. (2018). Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology. Communication Methods and Measures, 12(2-3), 93–118. https://doi.org/10.1080/19312458.2018.1430754
    - [[[Niekler_etal2018]]] Niekler, A., Bleier, A., Kahmann, C., Posch, L., Wiedemann, G., Erdogan, K., . . . Strohmaier, M. (2018). ILCM - A Virtual Research Infrastructure for Large-Scale Qualitative Data. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018). European Language Resource Association. Retrieved from http://aclweb.org/anthology/L18-1209
    - [[[Papilloud_etal2018]]] Papilloud, C., & Hinneburg, A. (Eds.). (2018). Studienskripten zur Soziologie. Qualitative Textanalyse mit Topic-Modellen: Eine Einführung für Sozialwissenschaftler. Wiesbaden: Springer VS.
    - [[[Roberts2013]]] Roberts, M. E., Stewart, B. M., Tingley, D., Airoldi, E. M., & others (2013). The structural topic model and applied social science. In Advances in neural information processing systems workshop on topic models: computation, application, and evaluation (pp. 1–20).
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