Call For Paper Volume:7 Issue:5 May'2020 |

Product Aspect Based Opinion Mining: A Su+C17rvey

Publication Date : 02/05/2016



Author(s) :

Namrata R. Bhamre , Nitin N. Patil .


Conference Name :
International Conference on Recent Trends in Engineering and Technology



Abstract :

Now-a-days, a very large number of consumer reviews for various products are available on the internet. These reviews are helpful for knowing the quality of the products based on their aspects. The online consumer reviews are not only important for the consumers but also for the firms. The firms use these reviews as feedback from the consumers. In this paper, we have reviewed different techniques and approaches for mining the consumer opinions from the reviews of products. The consumer reviews are disorganized and it increases the difficulty level for information retrieval and knowledge acquisition. The product aspect ranking is very useful in identifying important aspects of products from consumer reviews. It improves usability of various product reviews. The aspect identification of products is based on two observations: 1) the important aspects of product are hugely commented in the reviews by a large number of online consumers; 2) the overall opinions on the product are greatly influenced by the consumer opinions on the important aspects. It is applied to two most popular real world applications such as extractive review summarization and document level sentiment classification.


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