Semantic Network Analysis - by Elad Segev скачать в хорошем качестве

Semantic Network Analysis - by Elad Segev

This video will guides you through the procedure to conduct your own semantic network analysis. You will learn how to transforms any given text into a visual map of words co-occurring together. In this way you could identify the main themes appearing in the text as well as detect its biases and frames. Researchers can use this procedure as a grounded content analysis to formulate theories, or as a basis to test existing hypotheses. I demonstrate the use of semantic network analysis in the study of news coverage on covid-19 vaccine in the New York Times during 2020. Here are links to the online tools I used during the demonstration: 1. Collecting data from news archives: https://www.nexisuni.com 2. Analyzing word frequency and creating link-list: https://www.eladsegev.com/tools 3. Visualizing the network and calculating centrality measurements and cluster analysis: https://visone.ethz.ch/ Enjoy! Elad Segev