关键词: 短文本, 电子数据, N-gram, 作者归属, 似然比

Abstract: With the popularization of information technology in daily life, there are more and more cases of short Internet texts as electronic evidence data. International research on such issues has been comparatively rich and accumulated some mature experience. However, due to the characteristics and complexity of Chinese language, the research results of western countries, which mainly take English as the application scene, are not very applicable to Chinese scene. Therefore, it is of practical significance to focus on the author attribution algorithm of short text messages which are suitable for Chinese application scenarios. Based on the Ngram model and the likelihood ratio method, this paper determines the author attribution of short text through the distribution feature of word frequency. The experimental results show that this method has achieved a better attribution effect.

Key words: short text, electronic data, N-gram, author attribution, likelihood ratio