A Brand Attention And Praise Algorithm Based On Chinese Micro-Blogging

In order to understand Chinese Internet users' concern and evaluation for hot events and famous brands, this paper proposes a brand attention and praise algorithm based on Chinese Micro-blogging. The algorithm does text processing for a micro-blogging sentence at first; then selects suitable micro-blogging features and make a classification with support vector machine learning algorithm; last calculates the praise values of these brands. This paper implements a prototype for the proposed algorithm and verifies its validity.