There is a large amount of information on the website that is in text form, and due to the increment of internet usage, text mining has become a popular method for information retrieval. In this paper, we apply Latent Class Analysis (LCA), a technique that is often used in social sciences to reveal underlying latent classes, on text mining and check whether it is an appropriate method on this regard. Two study cases are demonstrated, one is similarity detection that compare two novels, Water Margin and Romance of Three Kingdom, and the other is using classification that classify the categories for news articles to find important keywords. Conclusions and suggestions are provided.