Topic Modeling, Topic Modeling Reviews, Topic Noise Modeling, Semi Supervised Learning, Twitter Data.
when a seed word is observed in a document, it is not probabilistically placed in a topic. Instead, it is placed in the topic corresponding to its seed topic with 100% probability, and with a weighting corresponding to its rarity in the data set (rare seed words are oversampled). Figure 7 shows the