The first approach is a simple frequency cutoff, applied as a pre-processing to filter out words and contexts with low frequency and to reduce computational cost.
all words w such that c N (w, c) < θ f and contexts c such that w N (w, c) < θ f , with θ f = 5, are removed from the co-occurrence data.