New Approach of Sarcasm Detection In Indonesian Marketplace Product Review

2020 6th International Conference on Computing Engineering and Design (ICCED) Pub Date : 2020-10-15 DOI:10.1109/ICCED51276.2020.9415787

A. Erfina, Aidah Sri Tamanin, Listianawati, Falentino Sembiring, Sudin Saepudin, Melawati, C.S.A. Teddy Lesmana

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引用次数: 1

Abstract

Product reviews on e-commerce become very important for prospective buyers to determine the items to be bought. Unfortunately, the results of the product reviews are not accurate because of the meaningful reviews of sarcasm. Sarcasm is a form of intelligent speech where the speaker or writer says or writes the opposite of the meaning. Reviewers sometimes give 5 stars review but are accompanied by negative comments with the intention of being sarcastic. The number of reviews continues to grow so it is very difficult to make limits to classify whether the number of product reviews is positive or negative. Thus, the use of the Fuzzy Mamdani method is very important to determine the value of the majority of sentiments. This study presents a new approach to the field of sarcasm detection by combining the methods of sentiment analysis and Fuzzy Mamdani by comparing the allegedly sarcastic reviews of reviews from other buyers of similar products. The results of this study indicate that the greater the difference between positive and negative reviews, the greater the review is negative.

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印尼市场产品评论中讽刺检测的新方法

电子商务上的产品评论对潜在买家决定购买商品非常重要。不幸的是，产品评论的结果并不准确，因为有讽刺意味的评论。讽刺是一种聪明的言语形式，说话者或作家所说或所写的与意思相反。评论者有时会给出5颗星的评价，但同时也会附上带有讽刺意味的负面评论。评论的数量在持续增长，所以很难限制产品评论的数量是正面的还是负面的。因此，使用模糊马姆达尼方法来确定大多数情绪的价值是非常重要的。本研究结合情感分析和Fuzzy Mamdani的方法，通过比较类似产品的其他购买者的评论中所谓的讽刺评论，提出了一种新的讽刺检测方法。本研究结果表明，积极评价与消极评价的差异越大，消极评价越大。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2020 6th International Conference on Computing Engineering and Design (ICCED)

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