Below you'll see different types of text analyses done for this SDG, based on the result data from the survey sent to researchers. Scroll down to read the description of each analysis and interact with the diagrams. These analyses can help create a better classification model for matching research papers to this SDG.
Contrast Analysis
This diagram shows the co-occurring terms in publications (title, abstract, keywords), of the papers that respondents have indicated relate to this SDG (y-axis: True), and that have been rejected (x-axis: False). In the top left you'll see term co-occurrences that a clearly relate to this SDG. The bottom-right are terms that are appear in papers that have been rejected for this SDG. The top-right terms appear frequently in both and cannot be used to discriminate between the two groups.
Network Analysis
This diagram shows the cluster-network of terms co-occurring in the publications related to this SDG, selected by the respondents (accepted publications only).
Topics Model
This diagram shows the topics, and the related terms that make up that topic. The number of topics is related to the number of of targets of this SDG.
Contingency Matrix
This diagram shows the top 10 of co-occurring terms that correlate the most.