| With the quick developing of internet, network forum become very major part in the information age. In forum, the main post is important, but most people express their opinion by replying the main post which they concern. The forum replies reflect more emotion orientation to social events.To accurately analyze semantic orientation of forum replies, it is necessary to grasp the features of forum. This paper analyzes the features of the forum replies first, such as floor structure, feature of forum replies language and so on.This paper presents a new system for predicting semantic orientation of forum replies based on forum floor structure and features of forum language. Firstly, this system extracts the required source code of the forum pages. From analyzing the html code of forum pages, the system creates a forum floor structure and saves the dividing text by sequence of forum floor.Next the system will analyze if forum replies are the meaningless. It's also necessary for long replies to analyze if they are post-related, then classify them by method of machine learning. For short replies, we do word dividing, grammatical analysis work and analyze semantic orientation combined with some word libraries.Finally, we get the semantic orientation of all the replies under the post based on individual reply's orientation and the forum floor structure which created before. Experiment results have proved the effectiveness of the system. |
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