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of individual words. This is effectively visualized in Fig. 8. What the plot shows is the most frequent 1300 words in our entire data set, which covers respectively 75% and 83% of the words in ASD and control subsets, depicted as circular blobs and colour-coded by their discriminative power (specifically, the saturation of a blob’s colour is proportional to the absolute value of the logarithm of the ASD-control likelihood ratio of the corresponding word). As expected based on our previous results presented in Sections 4.4.1 and 4.4.2, a number of words pertaining to issues of most concern to the ASD community are highly dis- criminative. This observation motivated our next set of experiments which examined tweet classification in detail. 

<img src='content_image/326094.jpg'>

