The goal for this visualization is to filter the words within 5 divided time periods, and observe which words stays constant through time. This helps us to understand which word has the strongest association with drones, through context changes through time. What’s interesting about this research question is the process of studying the relationship of natural language used around drone.
Main Findings
-From the visualization we are unable to find many strong assicative words. Majority of words found in the 5 time periods are different. There are high level of fluctuations between each time period.
-Most of the vocabulary associated with drones are none, followed by verbs.
Protocol
