Sentence examples for negative tokens from inspiring English sources

An NEG can model time window constraints between any two transitions by introducing negative places and negative tokens.

Terms discarded due to negative tokens were included in this case, providing similar results to CDAPubMed identification method using every MeSH branch.

Gann et al. [28] selected 6,799 tokens based on Twitter data, where each token is assigned a sentiment score, namely TSI(Total Sentiment Index), featuring itself as a positive token or a negative token.

For negative word tokens, it is to expect that the median should be less than 3.

The approach implements a bag-of-word model that simply counts the appearance of positive or negative (word) tokens for every sentence.

Similarly, the box-plot chart in Figure 4(b) shows that the median of sentiment scores for negative word tokens is lower than 3.

It is capable of representing both positive and negative correlations between tokens, and models both synonymy and polysemy.

If there are more positive tokens than negative ones, the sentence will be tagged as positive, and vice versa.

The token of negative Judgement: Propriety in this clause complex is read as provoked by this final value of Appreciation the poverty our exchange, and this interpretation depends in turn on the realisation of the target as not, grammatically-speaking, human behaviour, but as a nominalisation: our exchange.

where p is the number of times a token appears in positive tweets and n is the number of times a token appears in negative tweets.

We explore one mechanism to offset this negative impact by making the token impure public good mandatory.