Mining customer opinions from hotel reviews is useful. The results can then be used to help customers in choosing the most suitable hotel. In this research, a technique for mining opinions from big data of Indonesian hotel reviews, which is based on MapReduce, is developed. To avoid iterative computations, we adopt look-up table approach. The experiments for evaluating the performance of the technique were conducted on a Hadoop cluster with 14 clients. The results show that the proposed technique discovers useful opinion summary and is scalable.
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