Sentence examples for running topic from inspiring English sources

The question of consulting or lobbying fees paid to lawmakers' wives has been a running topic in the Abramoff investigations.

The match had already finished later than expected due to several long delays while the referee waited for decisions using the video replay system, which is likely to be a running topic of debate throughout the tournament.

A key choice in running topic modelling algorithms is the number of distinct topics that are expected to be covered by the document corpus.

Cost was a running topic among many studies because the HITECH Act's meaningful use incentives do not include LTC facilities.

Denton (5:07:23 p.m .: yes, I like campaigns Denton (5:07:29 p.m .: running topics Denton (5:07:35 p.m .: ongoing narratives Denton (5:07:51 p.m .: they work for tabloids and celebrity weeklies Denton (5:07:54 p.m .: why not for us?

The talks covered running topics including goal setting, pace, mileage, warm-up/cool down, stretching, core strengthening, cross training, hydration and nutrition, and shoes.

When using a larger dataset and running the topic analysis with larger numbers of topics, more-fine-grained topics pointing to specific techniques, skill sets or communities might emerge that would allow to draw conclusions that are more generalizable and point to specific promising citizen science opportunities in the forest monitoring domain.

Prior to running the topic modeller the text corpus is split into tokens and so-called stop-words (e.g. "the", "and", "if") are removed.

Pronouncing himself thrilled to be on West 43rd Street at the height of the off-season, Mr. Lawrence is soon running through topics like doddering security guards in Florida, gambling in Atlantic City, meals in Catskills resorts, old age and the effects of marriage on behavior.

Remember that your teacher is an important resource for assisting in project topic selection; you shouldn't hesitate to run potential topic ideas past him or her once you have a few good ones in mind.

The relationship between the number of topics and the log-likelihood (LL) per token as a measure of best model fit for topic numbers is shown for 10 sample MALLET LDA modelling runs for topic numbers in the range from 10too 300.