Beauty products are an important requirement for people, especially women. But, not all beauty products give the
expected results. A review in the form of opinion can help the consumers to know the overview of the product. The
reviews were analyzed using a multi-aspect-based approach to determine the aspects of the beauty category based
on the reviews written on femaledaily.com. First, the review goes through the preprocessing stage to make it easier
to be processed, and then it used the Support Vector Machine (SVM) method with the addition of Semantic
Similarity and TF-IDF weighting. From the test result using semantic, get an accuracy of 93% on the price aspect,
92% on the packaging aspect, and 86% on the scent aspect.