Content-based topic discovery of high-impact model
Yun Yang, Yanan Wu · 2010
Because the traditional method of extracting hot topics exists some defects, therefore this article focuses on the content of theme, looking for these words having high-impact on theme and connecting with highly relevant words, accordingly we can extract high-impact theme in forum. The algorithm give a reasonable weight to each word. Combining the characteristic that reply to pasts continually in forum with symptom discovery algorithm, we can calculate the influence of word spreading the theme and extract the high frequency words and key words.