Beauty Product Review (doi:10.34820/FK2/NAZYE1)

View:

Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Entire Codebook

(external link) (external link)

Document Description

Citation

Title:

Beauty Product Review

Identification Number:

doi:10.34820/FK2/NAZYE1

Distributor:

Root

Date of Distribution:

2022-03-06

Version:

1

Bibliographic Citation:

Purbolaksono, Mahendra Dwifebri; Adiwijaya; Said Al Faraby, 2022, "Beauty Product Review", https://doi.org/10.34820/FK2/NAZYE1, Root, V1, UNF:6:3WcQ72ieFP5SlXmF9IPVZA== [fileUNF]

Study Description

Citation

Title:

Beauty Product Review

Identification Number:

doi:10.34820/FK2/NAZYE1

Authoring Entity:

Purbolaksono, Mahendra Dwifebri (Telkom University)

Adiwijaya (Telkom University)

Said Al Faraby (Telkom University)

Distributor:

Root

Access Authority:

Purbolaksono, Mahendra Dwifebri

Depositor:

Purbolaksono, Mahendra Dwifebri

Date of Deposit:

2022-03-06

Study Scope

Keywords:

Computer and Information Science, sentiment analysis

Abstract:

This 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.

Methodology and Processing

Sources Statement

Data Access

Notes:

CC0 Waiver

Other Study Description Materials

Related Publications

Citation

Identification Number:

10.1109/ICoICT52021.2021.9527489

Bibliographic Citation:

N.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. 197–20

Citation

Identification Number:

http://dx.doi.org/10.30865/mib.v5i2.2845

Bibliographic Citation:

C. 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. 422-430

File Description--f4196

File: produk_kecantikan.tab

  • Number of cases: 3960

  • No. of variables per record: 6

  • Type of File: text/tab-separated-values

Notes:

UNF:6:3WcQ72ieFP5SlXmF9IPVZA==

Variable Description

List of Variables:

Variables

review_id

f4196 Location:

Summary Statistics: Min. 169.0; Max. 167513.0; Valid 3960.0; StDev 43308.58986196648; Mean 50258.09267676755;

Variable Format: numeric

Notes: UNF:6:J4isdfNXYt0AI8hxyhFcYg==

review_text

f4196 Location:

Variable Format: character

Notes: UNF:6:bb8PXY+/R1uEBUW7yO90cA==

price

f4196 Location:

Summary Statistics: Mean 0.08611111111111341; StDev 0.6636440064466571; Max. 1.0; Min. -1.0; Valid 3960.0

Variable Format: numeric

Notes: UNF:6:Idhkz7h5+NJ5YSB0nDDjSQ==

packaging

f4196 Location:

Summary Statistics: Min. -1.0; Valid 3960.0; StDev 0.39547545542053963; Max. 1.0; Mean 0.06515151515151654

Variable Format: numeric

Notes: UNF:6:cOn7wbDOdXy2iElAi5CBtw==

product

f4196 Location:

Summary Statistics: Min. -1.0; Max. 1.0; Mean 0.4859813084112131; StDev 0.7729921851456831; Valid 3959.0

Variable Format: numeric

Notes: UNF:6:gbsW6mb/QaWmJK2mzDTSyg==

aroma

f4196 Location:

Summary Statistics: Mean 0.11388888888888879; Min. -1.0; StDev 0.4594262956332227; Valid 3960.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:4l+q19CoAXDdrmfqxU6uWg==