Instead of using these approaches to reduce multi-dimensional vectors, we apply significance vectors to present the importance of words in each semantic category and use pre-assigned topics as axes of multi-dimensional space.
a news article can be represented by a n-dimension vector, where n is the number of pre-assigned topics.