Some studies employed vector representations of a fixed dimension, e.g., Principal Component Analysis (PCA) (Collins et al., 2002) and Latent Dirichlet Allocation (LDA) (Yao et al., 2011;Riedel et al., 2013).
the previous work did not compare the effectiveness of these representations when applied to a collection of large-scaled unstructured texts.