Sentence examples for generated the sentiment from inspiring English sources

Geno Auriemma, who has coached UConn to seven national titles, said that if his team had tied a women's record instead of a men's record, the general response would have been "Aren't those girls nice?" The game would have received minimal news coverage, he said, and generated the sentiment "Let's send 'em back where they belong, in the kitchen".

Still, we will not generate the sentiments required by the artificial virtues, until we manage to direct our generous passions beyond their natural bounds, allowing us to approve of the justice or honesty of all sorts of people in all sorts of situations, no matter their connection to us.

Maybe the protests, by evading the traps and lures of party politics, will help to generate the nationwide sentiment that is required for policy change; maybe they will inspire a small corner of our congresspeople to push the agenda that so few of them, fearful of agitating their donors and alienating misinformed constituencies, seem willing to push.

With the Stanford train dataset that was used for generating the lexicon, the sentiment was assigned automatically based on the presence of emoticons in the messages.

As we have seen, Hume is concerned to describe the circumstances under which people are felt to be responsible (i.e. describe the "regular mechanism" which generates the moral sentiments).

Similarly, liberty of spontaneity is (psychologically) essential to responsibility for action because it is only in these circumstances (i.e. in which we discover constant conjunctions between motives and actions) that it is possible for us to draw the specific kinds of inferences required to generate the moral sentiments.

The carriers have also generated negative sentiment among potential early adopters for the Isis platform by taking steps to block competing initiatives, like Google Wallet, from launching on NFC smartphones.

Manual cleansing is employed to rectify the lists generated for the unknown sentiment words.

It not only brought the author immediate national attention, but the three-stanza poem also generated enough public sentiment that the historic ship was preserved.

Sliding this fixed size window through the book, we generate n sentiment scores with the Hedonometer, which comprise the emotional arc [22].

Alternatively, learning-based methods attempt to generate the classifier vector c from examples of positive and negative sentiment.