Knowmak Classification

Context

  • The "Knowmak Classification" scenario is designed to explore abstracts from Knowmak projects and provide insights into semantic evolution and classification of topics. The user is prompted to input a dataset title, select indicators related to knowledge production and technology, and choose a grouping parameter (country, region, or topic). It serves as a comprehensive tool for analyzing and classifying knowledge-related indicators within the Knowmak framework.

Steps

  • Upon logging in, start a new project and proceed to import the "Knowmak Classification" scenario. Next, configure the scenario by filling in the necessary inputs: knowmak-classification-scenario.png

    • Execution title: Enter an execution title to categorize each scenario configuration execution. This field is optional.
    • Title for the new dataset: Enter a name for the new dataset. For this example, we selected 'Test Knowmak'.
    • Indicators: Choose from the list the indicators you're interrested in. For this example, we selected the indecators: 'Number of publications' and 'Publication tweeted'.
    • Group By: Group Indicators by Year and country/region/topic. You can switch between possibles values (see bellow). knowmak-classification-scenario1.png

  • When all the required fields are filled, you can click the button in the top right ‘Run this scenario’.

  • After the scenario execution is finished, check in the Outputs of the project for the new file produced: Knowmak Classification, which contains two tsv files: number-of-publications-groupby-country.tsv and publication-tweeted-groupby-country.tsv.