Sentence examples for using the content analytic from inspiring English sources

Using the content analytic text mining approach with adjusted probability classification, 25,123 potential 'Work Activity' cases were classified, with 16,424 of these true cases and 8,699 false positives (See Table 2).

Using the content analytic text mining approach with the binary classification (i.e. belonging to the 'Work SPV Tag' or the 'Other Activity SPV Tag'), 31,194 potential 'Work Activity' cases were identified, with 17,299 of these true cases and 13,894 false positives.

The basic keyword search detected 58% of cases (Specificity 0.99), an index search detected 62% of cases (Specificity 0.87), and the content analytic text mining (using adjusted probabilities) approach detected 77% of cases (Specificity 0.95).

The content analytic text mining approach using adjusted probabilities provided a balance of sensitivity and specificity.

Two techniques were used to examine the sensitivity and specificity of the content analytic text mining generated 'SPV Tags'.

Application developers can use the content's metadata to automate attribution, preserve the history of the content's movement and provide analytics to how content is being used.

Data were inductively examined using a content analytic approach to construct descriptive categories.

Using a content analytic approach, this qualitative study characterizes changes in alcohol use among 59 HIV-infected Ugandan adults (>18 years old), who reported any alcohol use in the previous year as they entered HIV care.

Data analysis: Audio tapes were transcribed verbatim [ 31] and coded using a descriptive content analytic approach [ 32, 33].

The third approach used content analytic text mining software (Leximancer [ 33, 34]) to categorise cases to the two Activity groups based on the terms recorded in text.

Graphical overview was obtained using the CGH analytics software (v3.4.27).