Sentence examples for employed text from inspiring English sources

The same is true, of course, of Jean-Luc Godard's "Histoire(s) du Cinéma," perhaps the single most decisive work of compilation ever created and one in which, along with the radically analytical editing devices, Godard employed text, onscreen and on the soundtrack, that is a work of rare critical insight that could stand on its own as a major piece of writing.

"Traditional encyclopedias are written by a number of employed text writers, usually people with an academic degree".

For example, although we, currently, use Textpresso and HMMs for GO CC and MF annotation, we have not yet employed text mining for GO BP annotation.

Although the employed text-mining components have shown satisfactory scores (compare with Table 1), the text-mined candidate genes are examined by all T-HOD curators in Stage 3 to further ensure the quality of the curated content.

At the end of the study, each participant was asked to disclose whether he or she had used other web-based interventions and if so, whether those interventions employed text- or image-based didactic materials, interactive technology, or behavioural strategies.

Choose another example to compare and contrast with the effect of the Spanish train bombings, employing text and relevant pictures to bolster your analysis.

It suggested training National Guard soldiers to better assist with power restoration and other emergency duties, establishing a stockpile of emergency equipment and supplies and more widely employing text messaging to communicate with residents.

Simpson-Haidaris is familiar with deaf culture and sign language, and the two also employ text messages and writing back and forth to communicate on a daily basis.

Specifically, it is an improved synergistic approach to the problem of audio-visual salient event detection and movie summarization, also employing text saliency computation, initially presented in ICIP15 [14].

This study employs text mining, qualitative analysis, and visualization techniques to compare discussion topics in publicly accessible online mental health communities for three conditions: Anxiety, Depression and Post-Traumatic Stress Disorder.

Through a case study employing text analysis of interview transcripts, we revealed the authentic voices of participants and gained a deeper understanding of motivations for and barriers to course engagements experienced by students participating in Massive Open Online Courses (MOOCs).