Opinion mining: A study on semantic orientation analysis for online document

As a result of advance in technology, there now exist a large amount of online documents in the form of surveys or called reviews. Most of the previous work on text classification is focusing on sentiment text classification. Sentiment classification requires the knowledge data of vocabulariespsila semantic meaning and the relationships between the vocabularies. In this paper, sentiment features of text were divided into characteristic words and phrases, which were extracted from the training data. The method combining HowNet with sentiment classifier was proposed. It computed semantic similarity of characteristic words, phrases with tagged words in HowNet, and it adopted the positive and negative terms as features of sentiment classifier. In the test, a sentiment classifier was designed to compare with the other methods. Evaluation results show the effectiveness of our method.