New Approach of Sarcasm Detection In Indonesian Marketplace Product Review
Adhitia Erfina, Aidah Sri Tamanin, Listianawati Listianawati, Falentino Sembiring, Sudin Saepudin, Melawati Melawati, CSA Teddy Lesmana · 2020
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.