Examples of edu.ucla.sspace.wordsi.PreComputedContextExtractor

edu.ucla.sspace.wordsi.PreComputedContextExtractor

A {@link ContextExtractor} that assumes that the corpus has already beenpre-processed and each document is a single line with the following format:

header score,feature(|score, feature)

where header is some id that identifies the word being represented by this context, score is a double, and feature is some string. With this style of corpus, {@link PreComputedContextExtractor} will obtain a dimension for eachfeature and transform the line into a {@link SparseDoubleVector}, passing it to {@link Wordsi} for futher processing. @author Keith Stevens


    /**
     * {@inheritDoc}
     */
    protected ContextExtractor getExtractor() {
        return new PreComputedContextExtractor(basis);
    }

Examples of edu.ucla.sspace.wordsi.PreComputedContextExtractor

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