Sentence examples for developed a text from inspiring English sources

In their study the authors developed a text classification model that recognised different emotions (anger, embarrassment, empathy, fear, pride, relief, sadness) in Twitter posts.

In response to the iPhone's inability to provide an audible alert to web browser-based activity, FlickIM developed a text messaging system which notifies the iPhone user via text message that an incoming instant message has been received.

We developed a text mining workflow aimed at extracting information on disease-related biomarkers from scientific publications.

To facilitate this, we have previously developed a text mining tool, called eFIP Extracting Functional Impact of Phosphorylation (2).

Luhn developed a text summarization system which selects relevant sentences and generates text abstracts from biomedical literature based on term frequencies [ 1].

With the selection of different software components discussed earlier, we have developed a text mining system specially tailored for mining of protein interaction networks of phosphorylated proteins.

After finding that 70percentt of its customers use text messages, Virgin developed a text-messaging device with Kyocera called the Switch_Back.

The nonprofit has developed a text-messaging app that enables healthcare providers to alert patients of their appointments; remind them to take medicines, check blood pressure or look out for signs of medical problems; and dispense tips on healthy and affordable diets.

We also developed a text-based search of all three annotations' protein calls simultaneously to expedite manual searches that validated the automated gene calls (http://gcat.davidson.edu/Wideloache/Webfiles/AnnotationSearcher.html).html

Chiang et al. (2006) developed a text-mining-based gene information summarization technique for a cluster of genes based on information extracted from PubMed abstracts followed by processing using a Finite State Automaton.

In this study, we used liver cancer as the target and developed a text-mining based curatext-mining based LivercurationrkerRIF, which allowsystems to retrieve biomarker-related namedtions and curators to curate supporting evidence on LiverCancerMarkerRIFers directly which browsing PubMed.