Sentence examples for themes in data from inspiring English sources

Text categorization is one of the most common themes in data mining and machine learning fields.

Thematic analysis is a method for identifying, analyzing and reporting patterns (themes) in data.

Frequent pattern mining is an essential theme in data mining.

Another application of my research is in designing models to infer the general topic or theme in data texts.

We then analysed the findings and discussion sections of the papers by identifying key themes represented in data (i.e. quotations) and the statements made within the discussion.

The data was analysed using thematic analysis to enable the identification, analysis and reporting of themes in the data.

They were used as a framework to categorise the data from each focus group, following which each theme was developed by identifying subordinate themes in the data assigned to it.

Data analysis was conducted in several iterative cycles, using a constant comparison technique, focusing on identifying emerging themes in the data and on refining themes and sub-themes into a coding structure [ 34, 42].

I read the transcripts and looked for common themes in the data.

Open inductive coding was employed to isolate relevant themes in the data (Strauss and Corbin, 1998).

We identified two main themes in the data: (1) no freedom in dress and (2) weight loss is the only solution to express feminine gender.