Sentence examples for created the sentiment from inspiring English sources

We first created the sentiment analysis project in CrowdFlower.

It would aim to create "the sentiment of an invisible omniscience", while all the time keeping inmates in lonely isolation, following Bentham's theory of "reformation through solitude".

True Love's forced and preachy dialogue self-consciously proclaims that "betrayal" and "redemption" are the agenda, but when did the expositional yelling of such nouns ever create the sentiment?

Alec Go, a Stanford University graduate student who created the "Twitter Sentiment" analysis tool, says there are dozens of sites offering such services.

The poll "reaffirms the very sentiment that created the Coastal Commission to begin with: Californians love their coast," said Jack Ainsworth, the agency's acting executive director.

And if you missed out on co-creating the sentiment graph on The Washington Post website during prior debates, you can go back to the Say What feature and interact with the graph – click on it and you'll get an instant playback of that segment of the debate that corresponds to the graph's timeline.

The rise of this democratic sentiment has, over time, created the sense that democratic legitimacy flows from the expressed judgment of the people.

Other research confirms that positive and warm relationships are one of the most important predictors of psychological well-being, so leaders must be mindful about the culture they are creating and the sentiments they express at work.

The rise of Japan as an economic power and the opening of World War II files at the UK's Public Record Office created a sentiment in the 1990s that not enough had been done to redress the suffering of internees and prisoners-of-war.

But the highly idealized spectator and the sorts of normative checks that can be provided by adopting somewhat different spectator positions can be seen as a response to and development of Hume's analyses of the interactions of our sentiments in creating the general point of view and standards for judgment.

We describe our effort to create the first Multi-Dialect Arabic Sentiment Twitter Dataset (MD-ArSenTD) that is composed of tweets collected from 12 Arab countries, annotated for sentiment and dialect.