Data · dataset · 2016
Amazon question/answer data
Listed in BERD@NFDI Data Portal
The Amazon Question and Answer Data dataset captures questions and answers about products collected by Julian McAuley's lab (University of California San Diego): Q/A pairs from Amazon, linkable to the Amazon review dataset via product ASINs.
Description
It includes question and answer text, question type (yes/no or open-ended), answer type, timestamps, and product IDs, available across 1.48 million questions, 4,019,744 answers, 309,419 labeled yes/no questions, and 191,185 unique products with questions.
Please cite the following if you use the data: Modeling ambiguity, subjectivity, and diverging viewpoints in opinion question answering systems Mengting Wan, Julian McAuley ICDM, 2016 DOI: doi.org/10.48550/arXiv.1610.08095 Addressing complex and subjective product-related queries with customer reviews Julian McAuley, Alex Yang WWW, 2016 DOI: doi.org/10.48550/arXiv.1512.06863
Links
Where it is published
- BERD@NFDI Data Portal record berd-platform.de/records/mxtsc-ynd56 ↗
landing page · from berd platform de
Catalogue records · 1
- InvenioRDM API berd-platform.de/api/records/mxtsc-ynd56 ↗
metadata API · from berd platform de
Topics
- Stated by source
- Consumer behaviour · E-commerce · L81 - Retail and Wholesale Trade; e-Commerce · Pattern recognition · Personalization · Social web · User-generated content · Web 2.0 technologies
- From keywords
- Consumer behaviour · Economics & Finance · Pattern recognition · Psychology & Behavioral Science · Social Science
- Inferred from text
- Text 75%
Provenance · 1 source records, 19 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| BERD@NFDI Data Portal | mxtsc-ynd56 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[field].anzsrc:field:350601 | mapping · berd platform de | vocabulary-mapper@1.0.0 | keywords['Consumer behaviour'] |
| concepts[field].anzsrc:field:460308 | mapping · berd platform de | vocabulary-mapper@1.0.0 | keywords['Pattern recognition'] |
| concepts[field].local:field:economics-finance | mapping · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[field].local:field:social-science | mapping · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · berd platform de | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[topic].invenio_subject:berd_platform_de:consumer-behaviour | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[topic].invenio_subject:berd_platform_de:e-commerce | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[topic].invenio_subject:berd_platform_de:l81-retail-and-wholesale-trade-e-commerce | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[topic].invenio_subject:berd_platform_de:pattern-recognition | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[topic].invenio_subject:berd_platform_de:personalization | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[topic].invenio_subject:berd_platform_de:social-web | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[topic].invenio_subject:berd_platform_de:user-generated-content | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[topic].invenio_subject:berd_platform_de:web-2-0-technologies | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| description | source · berd platform de | connector:berd_platform_de@1.0.0 | /metadata/description |
| publication_date | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| title | source · berd platform de | connector:berd_platform_de@1.0.0 | /metadata/title |
| updated_date | source · berd platform de | connector:berd_platform_de@1.0.0 |