Sentence examples for text data from inspiring English sources

Text data analysis is becoming increasingly important with the rapid growth of text data.

It is possible to examine text data without conversion tools.

So non-authorised viewers see only strings of random characters but authorised viewers see the clear text data.

Stand-alone FSS algorithms can be computationally expensive for the high-dimensional text data.

There are two major differences of the characteristics of the text data and image data.

It can support bilateral/multilateral multimedia transmission for high volume audio, video, image and text data.

It can read certain temporal text data sets and can annotate text files.

Free-text data were manually entered into Phenex by undergraduate student workers.

The free-text data are automatically parsed for specified keywords.

Free-text data was reviewed to devise an initial coding scheme.

We used de-identified AEFI surveillance reports to create free-text data sets for analysis.