Data · dataset · 2026
Dataset Review Aplikasi LinkedIn di Google Play Store untuk Analisis Sentimen
Listed in Teesside University Research Data Repository
Dataset ini berisi kumpulan ulasan pengguna aplikasi LinkedIn yang diperoleh dari Google Play Store melalui teknik web scraping.
Description
Data yang dikumpulkan mencakup beberapa atribut utama, yaitu nama pengguna, review (ulasan), rating, serta label sentimen yang diklasifikasikan menjadi positif, netral, dan negatif berdasarkan nilai rating. Sebelum digunakan dalam proses analisis, dataset telah melalui beberapa tahapan pengolahan data, meliputi data cleaning (penghapusan karakter non-teks dan duplikasi), text preprocessing (case folding, tokenization, stopword removal, dan stemming), serta transformasi fitur menggunakan metode TF-IDF.
Selanjutnya, data dianalisis menggunakan algoritma Naïve Bayes untuk melakukan klasifikasi sentimen terhadap opini pengguna. Dataset ini digunakan untuk keperluan tugas Data Mining dan dapat dimanfaatkan sebagai referensi dalam penelitian terkait analisis sentimen, text mining, dan klasifikasi teks. Informasi Dataset: 1.
Read the rest (3 more)
Sumber data: Google Play Store 2. Jumlah data: ±2000 ulasan 3. Atribut: nama, review, rating, sentimen 4.
Tahapan: scraping, cleaning, preprocessing, TF-IDF 5. Metode analisis: Naïve Bayes Nama Kelompok: 1. Ammi Sumiyana (G1F023005) 2.
Salsabila Januaryaneda (G1F023007)
Links
Where it is published
- DOI doi.org/10.17632/vngzj7kjfb.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Data management and data science 74% · Text 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/vngzj7kjfb.2 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4605 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |