Data · dataset · 2011
IMDB Movie Reviews Dataset
Listed in BERD@NFDI Data Portal
The IMDB Movie Reviews dataset comprises 50 000 sentiment‑labeled reviews scraped from IMDb (25 000 for training and 25 000 for testing) plus an additional 50 000 unlabeled reviews for unsupervised or semi‑supervised experiments.
Description
Reviews are included only when the IMDb rating is strongly positive (≥ 7/10) or strongly negative (≤ 4/10), and each entry is provided in both raw‑text and pre‑processed bag‑of‑words formats, making it a challenging yet unambiguous benchmark for binary sentiment classification.
Since its release the dataset has become a standard NLP benchmark, integrated into Hugging Face Datasets, TensorFlow Datasets, Keras, and PyTorch‑NLP. Please cite the following if you use the data: Maas, A. L., Daly, R. E., Pham, P. T., Huang, D., Ng, A. Y., & Potts, C. (2011). Learning Word Vectors for Sentiment Analysis .
Read the rest (1 more)
In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (pp. 142‑150). Association for Computational Linguistics. aclweb.org/anthology/P11-1015
Links
Where it is published
- BERD@NFDI Data Portal record berd-platform.de/records/d3sr1-cfq41 ↗
landing page · from berd platform de
Catalogue records · 1
- InvenioRDM API berd-platform.de/api/records/d3sr1-cfq41 ↗
metadata API · from berd platform de
Topics
- Stated by source
- Benchmarking · Machine-learning · Sentiment Analysis
- From keywords
- Computer Science & AI · Economics & Finance · Machine learning
- Inferred from text
- Text 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| BERD@NFDI Data Portal | d3sr1-cfq41 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[field].anzsrc:group:4611 | mapping · berd platform de | vocabulary-mapper@1.0.0 | keywords['Machine learning'] |
| concepts[field].local:field:computer-science-ai | mapping · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[field].local:field:economics-finance | 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:benchmarking | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[topic].invenio_subject:berd_platform_de:machine-learning | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[topic].invenio_subject:berd_platform_de:sentiment-analysis | 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 |