This paper proposes a hotel reviews sentiment analysis model based on text features.The way of the model includes the building of hotel reviews emotional dictionary and the analyzing of hotel reviews sentence patterns and grammar patterns.By this way, we have solved the problems of incomplete emotional matches and the inaccuracy of emotional values counting.Results of this test show that this model has better classification results especially for hotel reviews sentiment analysis.