Beauty Product Reviewdoi:10.34820/FK2/NAZYE1Root2022-03-061Purbolaksono, Mahendra Dwifebri; Adiwijaya; Said Al Faraby, 2022, "Beauty Product Review", https://doi.org/10.34820/FK2/NAZYE1, Root, V1, UNF:6:3WcQ72ieFP5SlXmF9IPVZA== [fileUNF]Beauty Product Reviewdoi:10.34820/FK2/NAZYE1Purbolaksono, Mahendra DwifebriAdiwijayaSaid Al FarabyRootPurbolaksono, Mahendra DwifebriPurbolaksono, Mahendra Dwifebri2022-03-06Computer and Information Sciencesentiment analysisThis dataset contains the Review of Beauty Product in the Bahasa Indonesia text representation. Each text in the dataset has been categorized into Price, Packaging, Product, and Aroma. Also, each category has been classified into Positive, Neutral, and Negative.CC0 Waiver10.1109/ICoICT52021.2021.9527489N.P. Arthamevia, Adiwijaya, M.D. Purbolaksono, "Aspect-Based Sentiment Analysis in Beauty Product Reviews Using TF-IDF and SVM Algorithm", 2021 9th International Conference on Information and Communication Technology ICoICT 2021, 2021, pp. 197–20http://dx.doi.org/10.30865/mib.v5i2.2845C. H. Yustika, Adiwijaya, S. A. Faraby, "Analisis Sentimen Berbasis Aspek pada Review Female Daily Menggunakan TF-IDF dan Naïve Bayes", Jurnal Media Informatika Vol. 5 No. 2, 2021, pp. 422-430produk_kecantikan.tab39606text/tab-separated-valuesUNF:6:3WcQ72ieFP5SlXmF9IPVZA==review_id0.0169.0167513.03960.043308.58986196648.50258.0926767675539341.5UNF:6:J4isdfNXYt0AI8hxyhFcYg==review_textUNF:6:bb8PXY+/R1uEBUW7yO90cA==price0.00.086111111111113410.0.0.66364400644665711.0-1.03960.0UNF:6:Idhkz7h5+NJ5YSB0nDDjSQ==packaging0.0.-1.03960.00.00.395475455420539631.00.06515151515151654UNF:6:cOn7wbDOdXy2iElAi5CBtw==product-1.01.01.01.0.0.48598130841121310.77299218514568313959.0UNF:6:gbsW6mb/QaWmJK2mzDTSyg==aroma0.11388888888888879-1.00.0.0.45942629563322270.03960.01.0UNF:6:4l+q19CoAXDdrmfqxU6uWg==