Helpfulness of online consumer reviews: A multi-perspective approach

Satanik Mitra, Mamata Jenamani

Abstract: Highlights•Helpfulness of online review represented with three qualitative perspectives.•N-gram, sequential semantics and structural statistics are implemented.•Deep learning modules like LSTM, and d-CNN are used for semantic perspectives.•Human scoring is used to address the problem related to helpfulness voting.•Weights of each of the perspectives on helpfulness of a review is estimated.