thiippal/logo-corpus: A corpus-based approach to colour, shape and typography in logos

Dataset

Description

# A repository for the chapter *A Corpus-Based Approach to Colour, Shape and Typography in Logos* This repository is associated with the chapter *A Corpus-Based Approach to Colour, Shape and Typography in Logos* by Christian Mosbæk Johannessen, Mads Lomholt Tvede, Kristoffer Claussen Boesen and Tuomo Hiippala, to be published in the edited volume *Empirical Multimodality Research* by Jana Pflaeging, Carman Ng, Janina Wildfeuer and John A. Bateman. ## What does this repository contain? This repository contains the data and code needed to reproduce the results reported in the chapter. ## How to use this repository? The analyses were performed in a [Jupyter notebook](https://jupyter.org/), an interactive programming environment that runs in a web browser. If you have not used Python before on your computer, install a suitable package manager to manage Python and its associated libraries. For macOS, we recommend [Homebrew](https://docs.brew.sh/Installation). In case you run Windows, use [miniconda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/). To install Jupyter on **macOS**, follow the instructions below: 1. Open the Terminal application 2. Create a Python 3 virtual environment named `logocorp` by entering the following command: `python3 -m venv ~/logocorp` 3. Clone this repository from GitHub by entering the following command: `git clone https://github.com/thiippal/logo-corpus.git`. This clones the repository into a directory named `logo-corpus`. Use the command `cd logo-corpus` to change into the directory. 4. Install the required libraries by entering the following command: `pip install -r requirements.txt`. 5. Open the Jupyter notebook by entering the following command: `jupyter notebook analysis.ipynb` 6. Select the *Cell* menu and *Run all* to execute the notebook. ## Need help? [Open an issue](https://github.com/thiippal/logo-corpus/issues/new/choose) in this repository.
Date made available17. Aug 2020
PublisherZenodo.org
Date of data production15. Jun 2015 - 17. Aug 2020

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