Also, (Hafeez and Patil, 2017) showed that the author analyzed summary of Chinese expression habits using an adaptive weight of word position algorithm based on TF-IDF to dynamically determining the weight of a word position according to the word position.
it introduced the Vector Space Model VSM and designed comparative experiment under the scene of Chinese document clustering of which TF-IDF-AP algorithm improved a promising results.