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Building scholarly methodologies with large-scale automated topic analysis.
Topic analysis is a powerful tool that extracts "topics" from document collections.
Application of Sentiment and Topic Analysis to Teacher Evaluation Policy in the U.S. Educational Data Mining (EDM) conference 2015.
The time slice of the topic analysis also shown the similar results to the integer terms analysis.
Therefore, the comparison between two sequencing data is processed as "topic analysis of documents" in text mining.
The main explanations people gave were clicking behaviours, inbox behaviours, and even imaginings about algorithms like topic analysis, and which pages they read online.
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That 2017 NYU faculty book, Regulating Wall Street: CHOICE Act Versus Dodd-Frank, provides a topic-by-topic analysis of Dodd-Frank and the CHOICE Act's two approaches to regulation.
Possible topics: analysis of variance and chi-square tests, computer statistical packages.
Using bibliometric techniques and the social network method, we attempt to explore three areas of the research profile: (1) country productivity distribution, (2) country collaboration patterns, and (3) research topics analysis.
The massive dataset meant that, for a few topics, analysis was restricted to pre-selected portions.
The paper is structured along four topics: analysis of context and actors as a basis for programme and security planning; security management systems; programme implementation; and staff resilience.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com