Sentence examples for on positive sentences from inspiring English sources

The performance of article classification was assessed using precision, recall and F-measure based on positive sentences only, to allow for indicative comparison with related work.

This was our third assumption: the training data should contain this 4 1 ratio, four negative sentences for one positive sentence.

Under the affective heuristic hypothesis, in contrast, the spontaneous preference for positive sentences depends on processes determining response that are automatic in the sense of being active regardless of the subject's intentions, and do not require effort or the supervision of executive attention [20], [29] [31].

The idea was based on psycholinguistic research at the time which demonstrated that active and positive sentences are processed more quickly than negative and passive sentences (Roberts, 1968; Wason, 1961).

We obtained a set of 1724 positive sentences and 277 negative sentences.

Clearly positive sentences (i.e., sentences without any negative operators) and clearly negative sentences (i.e., sentences with overt sentential negation and no other relevant operators present) were used as controls.

where the positive sentences are those built without using negation.

These datasets contain 100, 107, and 241 positive sentences from 270, 279, and 619 sentences respectively.

The distances in most positive sentences are less than 10.

There are 45 positive sentences that match the seed patterns and 57 positive sentences that match the unsupervised patterns.

On the other hand, 20% of the sentences that contain a given gene name are positive sentences (i.e. relevant for GO curation) and 80% are negative.