Data · dataset · 2026
Indonesian Customer Reviews for Food SMEs: Raw Dataset for Text Summarization
Listed in Teesside University Research Data Repository
This dataset contains raw customer reviews collected from various digital platforms, including Google Maps, online marketplaces, and other review portals, specifically targeting Indonesian small and medium-sized food enterprises (SMEs).
Description
The dataset is intended for research in Natural Language Processing (NLP), particularly for text summarization tasks using models such as IndoBERT. It includes reviews in Bahasa Indonesia that reflect customer opinions on product quality, service experience, and overall satisfaction.
The data has been anonymized to protect personal information and is provided in a clean CSV format suitable for preprocessing and model training. Researchers and practitioners can use this dataset to: Develop extractive or abstractive text summarization models. Conduct sentiment analysis or other NLP tasks.
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Evaluate the performance of language models on Indonesian customer-generated text. Dataset Details: Language: Indonesian Format: CSV Number of Reviews: [insert number of rows in your CSV] Fields Included: review_text, rating (optional), source_platform (optional) Usage License: [e.g., CC BY 4.0 or Open Data Commons] Keywords: Indonesian, Customer Reviews, Food SMEs, Text Summarization, NLP, IndoBERT
Links
Where it is published
- DOI doi.org/10.17632/j8tzn2cxvm.1 ↗
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
- Artificial intelligence · Computer Science & AI · Earth & Environmental Science · Humanities · Natural language processing
- Inferred from text
- Text 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/j8tzn2cxvm.1 | 14 h 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:field:460208 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Natural Language Processing'] |
| concepts[field].anzsrc:group:4602 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| 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:humanities | 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 |