Recognition of Person Names in Netnews Oral Reviews
Jie Zhou · Zhongwen xinxi xuebao · 2010
The person is an important object of comment in the in Netnews oral reviews,and thus the identificaiton of persona names is essential to the sentiment analysis for oral reviews.This paper resentss an efficient method for identifying the person namesbased on the text features in Netnews oral reviews.The method firstly evaluates the reliability of a word as a part of personal objects via the multi-frequency as the discriminating clue;Secondly,certain windows are set up according to the clues and an improved algorithm of frequent pattern mining are applied to get the candidates.Lastly,the results are optimized by a series of ways.The experimental results display the method can efficiently identify the full person names commented in Netnews oral reviews.