In this study, inspired by some multi-relational data mining techniques, such as (Ng et al., 2011), we assume each topic as a single relation type and construct an intra-topic word network for each relation type.
it is to map word relatedness within multiple topics to heterogeneous relations, meaning that words have interactions with others based on different topics.