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Topic modeling data and scripts for the following monograph: Howanitz, Gernot. 2020. Leben Weben. (Auto-)Biographische Praktiken russischer Autorinnen und Autoren im Internet. Bielefeld: transcript. (= PhD thesis, U of Passau 2017). Available in Open Access

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Russian Authors on the Internet

Data and scripts for the following monograph:

Howanitz, Gernot. 2020. Leben Weben. (Auto-)Biographische Praktiken russischer Autorinnen und Autoren im Internet. Bielefeld: transcript. (= PhD thesis, U of Passau 2017). Available in Open Access

Uses Python 3.9 and Jupyter notebooks for visualisation.

Note: This repository is not updated anymore. Active development happens over here

Installation

  1. Check out this repository
git init
git clone https://github.com/ghowa/russian-blogs.git

Variant 1: Pip

1.1 Install required python packages

pip install -r requirements.txt

1.2 Activate qgrid:

jupyter nbextension enable --py --sys-prefix qgrid

# only required if you have not enabled the ipywidgets nbextension yet
jupyter nbextension enable --py --sys-prefix widgetsnbextension

Variant 2: Anaconda

2.1 Install required python packages

conda env create -f environment.yml

Usage

Start Jupyter notebook:

jupyter notebook

A browser window will open. Select "corpus.ipynb" for browsing the corpus or "create_lda.ipynb" for creating a new topic model of the corpus.

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Topic modeling data and scripts for the following monograph: Howanitz, Gernot. 2020. Leben Weben. (Auto-)Biographische Praktiken russischer Autorinnen und Autoren im Internet. Bielefeld: transcript. (= PhD thesis, U of Passau 2017). Available in Open Access

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