The second is identifying topical aspects and corresponding opinions, e.g., developing topic models to predict fine-grained aspect ratings (Titov and McDonald, 2008;Wang et al., 2011).
all those works emphasize population-level analysis, which applies a global model on all users and therefore fails to recognize the heterogeneity in which different users express their diverse opinions.