Micro-abstract of Chinese Product Reviews:A Novel Approach
Zhao Fu-qin · Journal of Ningbo University · 2014
This paper presents a new unsupervised approach to generate micro-abstract of Chinese product reviews, mainly focusing on generating the readable, representative, concise and unstructured abstractive summaries. We model the readability with an N-gram language model, measure representative impact based on a modified mutual information function, and calculate words similarity with Tongyici Cilin. We also formulate the addressed issue as an optimization problem in a move to seek a set of concise and non-redundant phrases that are readable and can represent key opinions in text. In the end, we propose the heuristic algorithms to efficiently solve the formulated optimization problem.