Semi-supervised Discovery of Informative Tweets During the Emerging Disasters
Table 3: Comparing two clustering algorithms BC and W2V.
['[BOLD] Train', '[BOLD] SH  [BOLD] BC', '[BOLD] SH  [BOLD] W2V', '[BOLD] BB  [BOLD] BC', '[BOLD] BB  [BOLD] W2V', '[BOLD] OT  [BOLD] BC', '[BOLD] OT  [BOLD] W2V']
Does the choice of a word clustering algorithm make a difference? For both BC and W2V, we only considered D50K, D50Kp, and D3K corpuses. None of the algorithms is superior over all 6 disasters. W2V is superior on OT, AF, and QF, BC is superior on SH, and they are similar on the remaining two disasters. This is a slightly surprising result, considering the age of Brown clustering and the recent hype surrounding the word2vec algorithm. Studying this result more in depth would certainly be worthwhile. For the purposes of this paper, our conclusion is that both algorithms have their strengths, but that if we have to choose one, it would be W2V.