Opinosis Opinion / Review
Donated on 7/5/2010
This dataset contains sentences extracted from user reviews on a given topic. Example topics are “performance of Toyota Camry†and “sound quality of ipod nanoâ€.
Dataset Characteristics
Text
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
-
# Instances
51
# Features
-
Dataset Information
Additional Information
This dataset contains sentences extracted from user reviews on a given topic. Example topics are “performance of Toyota Camry†and “sound quality of ipod nanoâ€, etc. In total there are 51 such topics with each topic having approximately 100 sentences (on the average). The reviews were obtained from various sources - Tripadvisor (hotels), Edmunds.com (cars) and Amazon.com (various electronics). The dataset file also comes with gold standard summaries used for the Opinosis summarization paper (see relevant papers).
Has Missing Values?
No
Dataset Files
| File | Size |
|---|---|
| OpinosisDataset1.0/OpinosisDataset1.1.pdf | 399.5 KB |
| OpinosisDataset1.0/topics/room_holiday_inn_london.txt.data | 65 KB |
| OpinosisDataset1.0/topics/location_holiday_inn_london.txt.data | 37.1 KB |
| OpinosisDataset1.0/topics/battery-life_netbook_1005ha.txt.data | 34.5 KB |
| OpinosisDataset1.0/topics/staff_bestwestern_hotel_sfo.txt.data | 30.8 KB |
0 to 5 of 332
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset opinosis_opinion_review = fetch_ucirepo(id=191) # data (as pandas dataframes) X = opinosis_opinion_review.data.features y = opinosis_opinion_review.data.targets # metadata print(opinosis_opinion_review.metadata) # variable information print(opinosis_opinion_review.variables)
Ganesan, K. (2010). Opinosis Opinion / Review [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5K607.
Creators
Kavita Ganesan
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.