(Reducts) If (X_{mathrm{{DT}}}^1,X_{mathrm{{DT}}}^2,ldots,X_{mathrm{{DT}}}^r ) are the decision classes of (text {DT}), the set (text {POS}_B (d)=underline{B}X^{1}cup underline{B}X^{2}cup cdots cup underline{B}X^{r}) is the B-positive region of (text {DT}).
The Council of Hippo (one of the African Synods) drew up a collection of texts, which is now the Catholic Bible (including a class of texts I as a Protestant would call Apocrypha), in 393 AD.
As much as possible, follow the conventions for established style names if you have multiple styles for the same class of text.
Use topic as feature will undoubtedly increase the distance of features and reduce the between-classes similarity of texts.
Moreover, Matthews ignores (as most linguists have) the existence of large and interesting classes of languages that are text-identifiable.
Building a model to predict emotions, beliefs or sentiments (such as hateful remarks) in electronic text requires an additional step to establish a 'gold standard' that is suitable for training and testing supervised machine classifiers, and is based on human agreement on which class a piece of text belongs to.
One will also need to account for references to class and caste in the corpus of texts typically understood to be Hindu ones.
Thus intertextuality inevitably has a role to play in accounting for the possible interpretations of each unit of text as an instance of a wider set of potential meanings: all text-units are part of a larger set of texts, either as a class of similar texts, or as part of a chain of on-going textual events.
While false positives were difficult to distinguish computationally, we were able to reduce the number of false negatives by providing an additional training data set with HIV-1 human HIV-1 human-specific classes of false negatives annotated in text.
McDonald (2013) found a negative correlation between in-class texting and final grade score, regardless of texting condition.
