[Purpose/significance]Review quality evaluation is one of hot issues in information area.This paper investigates the impact of emotions on review helpfulness from psychology perspectives,providing a new strategy for helpful review identification,as well as theory references for enterprise marketing.[Method/process]Emotion influence on review helpfulness is explored on the basis of an emotion theory in psychology.For target objects,long reviews,sentimental features in the review content is extracted firstly,including seven specific emotions(eg.joy,sadness,anger,fear,surprise,disgust,goodness) and two subjectivity indexes.Five Random-forest models based on different sentimental feature combination are then generated to identify helpful reviews.By analysis the five classifiers’ performance,impacts of emotions on review helpfulness are able to be estimated.[Result/conclusion]The results indicate emotions are significantly related with review perceived helpfulness.Straight forward emotions,such as "joy""anger" and "disgust",are more significant than complicated emotions(e.g.goodness,surprise,fear and sadness)."Joy" promote perceived helpfulness of reviews,where as impacts of "anger" and "disgust" are negatively.Additionally,the results show that emotion influence is associated with evaluated objects(e.g.books) as well,suggesting it’s more significant to generate a sentiment-oriented helpful reviews predictor for specific objects being reviewed.