At present trend of online shopping is increasing very fast in second largest population country like India. Almost shopping sites ask for reviews about the sold products or services provided. Therefore, number of reviews is increasing very rapidly. These reviews are written in free style. Therefore, problem is how to extract knowledge from such type of unstructured reviews. It will be time taken if it is done manually. To overcome such problems two detailed algorithms are proposed in this paper which extracts opinions of customers. This summary of opinions helps new customer before buying a particular product. This paper is divided into four sections one for introduction, second for proposed algorithms, third for comparison between manual and automatic results finally fourth one for conclusion.
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Ahmad et al. (2017) studied this question.
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