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Krippendorff's concept of content analysis provides a systematic approach to analyzing textual data.
Two strategies have been used for analyzing textual data: discursive thematic analysis [ 40] and temporal bracketing strategy, the latest being considered a direct reference to Giddens' structuration theory [ 41].
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The analysis procedure was based on qualitative content analysis [ 15- 17], which is a systematic method to analyze textual data into content categories (codes and themes).
Content analysis was used to analyse textual data [ 37].
DICTION is used in strategic management research for analyzing textual content like mission statements, CEO interviews, annual reports, leadership speeches, and any other textual/narrative data that are important indicators of the strategic intent of organizations/enterprises/bodies (Shor and Palmer 2008).
We also highlight some of the difficulties faced when analyzing textual databases.
I wrote an article in The New York Times this week that said Microsoft's 100 top managers had been told to think of ways their businesses could incorporate machine learning — which is the engineering of algorithms that analyze textual, behavioral and sensor data, and then try to form patterns and predictions.
In this project, we will leverage techniques from big data and machine learning to structure and analyze large textual data, which can help address questions ranging from individual career outcomes to understanding firm performance to automation and future of work.
An open coding technique was adopted to analyze the textual data.
Other AI technologies can also be used to extract data from transactional systems, or to analyze and quantify textual data.
Informed by a socio-ecological perspective, this study utilized Interpretive Description (ID) methodology and participatory photographic methods to capture and analyze a range of visual and textual data.
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