Sentence examples for topic leading to from inspiring English sources

Not surprisingly, the attack that killed Ambassador J. Christopher Stevens and three other Americans last month in Libya was an important topic, leading to an essentially roundabout discussion of Syria, where Mr. Romney's sole difference with Mr. Obama was his willingness to provide arms to the rebels.

The following section provides a review of literature on the topic, leading to the presentation of the research questions.

In the present paper, we have favored the broader approach to the topic, leading to a discussion of 30 measures that have been presented in the context of tort "reform".

Unlike LDA, each word in an RSM is generated by multiple topics, leading to distributed and richer representations.

In this analysis, we investigate the tweet traffic of people's tweets, retweets, replies, mentions, and hashtags on specific topics leading to particular position of pinpoints concerning those topics.

Although parallel LDA algorithms on multi-processor architectures have low time and space complexities, their communication costs among processors often scale linearly with the vocabulary size and the number of topics, leading to a serious scalability problem.

We (like many other developmentally minded evolutionists, e.g. West-Eberhard 2003) believe that resistance to these ideas derives in part from implicit models of causation that can channel thinking on these topics, leading to the neglect of potentially important explanations.

In response, Topic modeling is introduced to group synonyms together under a topic automatically, leading to convenient and accurate evaluation of brands based on consumers' online reviews.

The debate over the religious center has captivated much of the city: 66 percent said they had heard or read a lot about it, and follow-up interviews with respondents showed that the topic was leading to emotional and searching conversations in living rooms and workplaces throughout the city.

We develop a spatiotemporal-semantic model to quantitatively express human activity patterns based on topic models, leading to an analysis of space, time and semantics.

As a result, class-specific information is considered while learning topics, thereby leading to better discrimination in comparison to LDA.