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The approach includes five steps: (1) selecting keywords to gather an initial set of Tweets to analyze; (2) importing data; (3) preparing data; (4) analyzing data (topic, sentiment, and ecologic context); and (5) interpreting data.
For qualitative data, topic guides for semi-structured interviews and focus groups were developed based on themes essential to answering the research questions.
EDAM consists of four main sub-ontologies rooted in the top level of its hierarchy: Operation, Data, Topic and Format (Table 1 and Fig. 1).
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With an increasing number of repositories available for scientific data — topic-specific databases, institutional repositories, or services like Figshare or DataVerse — there is no shortage of places to deposit research data.
What are the most investigated big data topics?
In this three types of codes were identified in the data: descriptive, topic and analytical (Richards, 2005).
--To get started, click on "Data by Topic," then select "Care of Chronic Illness in Last Two Years of Life".
It is related to a heterogeneous data exploration topic (or heterogeneous data mining).
Qualitative methods were used to collect data on topics of community-based disaster preparedness and recovery strategies in the county, particularly among women and limited English proficient populations.
Findings indicate a major divide in the data between topic-oriented and author-oriented reviews.
For marketers, social networks offer a goldmine of data about topics and brands.
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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