Learning Multi-faceted Representations of Individuals from Heterogeneous Evidence using Neural Networks
Table 3: Accuracy for different models on 9-class job occupation prediction from social representations.
['Model', 'Accuracy']
As can be seen, network information does significantly help the task of gender identification, only achieving slightly better performance than random guess. Such an argument is reinforced by the fact that Text+Relation yield almost the same performance as model all, which takes Text+ Relation+ network information. Again, the best performance is obtained when all types of social signals are jointly considered