Unexpected results are also observed with TF-IDF. Similarly to the results of dispersion-based measures, as the number of segments increases, the rank of the artificial word moves up. However, in contrast to the moderate movement with respect to rank seen with dispersion-based measures, in the scenario with 1000 words in one segment of the comparison corpus, the artificial word achieves the first rank starting with a dispersion of just 100 words in 10 segments (Fig. 3). This result partially contradicts our expectation in Hypothesis 5 regarding the moderate sensitivity of TF-IDF to variations in dispersion.