The phrase "analysis of the keyword" is correct and usable in written English.
It can be used when discussing the examination or interpretation of a specific keyword, often in contexts like research, SEO, or linguistics.
Example: "The analysis of the keyword revealed important trends in user behavior and search patterns."
Alternatives: "examination of the keyword" or "evaluation of the keyword".
A further cluster analysis of the keyword network (Fig. 5) reveals the four keyword-clusters: (1) Economic development subgroup; (2) Diversified agricultural subgroup; (3) Disaster response subgroup; and (4) Financial management subgroup.
A collocation analysis of the keyword 打虎 dahu "slash-tiger" (with 272 tokens) shows three nouns referring to or denoting "hero" as the top-ranked (by t score) collocates: (i) the proper noun 武松 Wu Song, (ii) 英雄 yingxiong "hero," and (iii) 好汉 haohan "good guy, hero".
Therefore, the analysis of the keyword co-occur frequency could reflect the relationship of the subjects.
Although ObitMessenger seems likely to appeal chiefly to genealogy buffs, an analysis of the keywords selected by the first 1,000 subscribers revealed keen interest among alumni groups and World War II battalions, Mr. Bartol said.
This study suggests equating the language of learning (Coyle et al., 2010) to the key words found by using the keywords tool in Wordsmith (Scott, 2008) and provides an analysis of the keywords in TEC, a corpus specialized in telecommunication English.
Analysis of the keywords showed that three broad categories could be distinguished based on their output pattern (Fig. 3).
Third, we include a more detailed analysis of the SQL keyword survey results from [11] (in "SQL support" section).
In addition, the analysis of the author keywords showed that among the top 20 most frequent keywords there were fewer records from 1980 1999.
The analysis of the author keywords, languages and co-authorship pattern are also going to be conducted in this study.
The patterns could be matched to the three categories or typical, atypical and attractive topics, which became apparent with the analysis of the handpicked keywords, indicating that the categorization was robust.
According to the profile analysis of gatekeepers and the keyword analysis, gatekeepers on Twitter formed homogenous groups in terms of their political ideologies and geographic locations.
