This case study demonstrates the identification and changes of policy frames in major countries as the policy context changes. This research has important implications for extracting policy frames from texts through semantic networks. Specifically, we want to share the researchers’ concerns about how to code texts, how to identify subgroups, and how to reconstruct subgroups into policy frames. Readers are expected to gain better understanding of the usefulness of semantic network analysis in constructing policy arguments. This case discusses issues which could arise when disassembling the texts (i.e., constructing co-occurrence matrix), network analysis techniques needed for frame analysis (i.e., centrality and modularity analysis), and the processes to identify policy frames.