https://github.com/educationaltestingservice/nn-compound-sentiment
Sentiment Lexicon for Noun Noun Compounds Generated via Crowdsourcing.
https://github.com/educationaltestingservice/nn-compound-sentiment
lexicon nouns sentiment
Last synced: 5 months ago
JSON representation
Sentiment Lexicon for Noun Noun Compounds Generated via Crowdsourcing.
- Host: GitHub
- URL: https://github.com/educationaltestingservice/nn-compound-sentiment
- Owner: EducationalTestingService
- License: cc-by-sa-4.0
- Created: 2017-03-06T14:19:50.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2017-03-06T14:37:25.000Z (over 9 years ago)
- Last Synced: 2025-05-14T09:17:38.960Z (about 1 year ago)
- Topics: lexicon, nouns, sentiment
- Size: 19.5 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README
## Introduction
The data release (`lexicon.csv`) contains a list of 400 noun compounds (such as "business magazine" or "fist fight") that were annotated for sentiment using crowdsourcing as a part of a research project at ETS. A positive/negative/neutral rating for each compound and for each of the words separately is provided. The data was used to study "combinatorics" of sentiment, namely, how sentiment profiles (pos/neg/neu) of single words combine to yield the profile for the compound. The paper describing our approach and results should be cited if this dataset is used:
Beata Beigman Klebanov, Jill Burstein, and Nitin Madnani. 2013.
Sentiment Profiles of Multiword Expressions in Test-taker Essays: The Case of Noun-noun Compounds. ACM Trans. Speech Lang. Process. 10(3):12. DOI=http://dx.doi.org/10.1145/2483969.2483974
```bibtex
@article{BKBM2013,
author = {Beigman Klebanov, Beata and Burstein, Jill and Madnani, Nitin},
title = {Sentiment Profiles of Multiword Expressions in Test-taker Essays: The Case of Noun-noun Compounds},
journal = {ACM Trans. Speech Lang. Process.},
volume = {10},
number = {3},
year = {2013},
pages = {12:1--12:15},
articleno = {12},
doi = {10.1145/2483969.2483974}
}
```
## Data Format
Each of the 13 columns in `lexicon.csv` are explained in the table below.
| **column name** | **explanation** | **example** |
|-------------|-------------------------------------------------------------|------------------|
| nn compound | the text of the compound | airport security |
| DEV/TEST | whether this is part of DEV or TEST (see paper) | DEV |
| pos | positivity score for the compound (between 0 and 1) | 0.381 |
| neg | negativity score for the compound (between 0 and 1) | 0.095 |
| neu | neutrality score for the compound (between 0 and 1) | 0.524 |
| noun1 | the left noun in the compound | airport |
| noun1.pos | positivity score for the left noun alone (between 0 and 1) | 0.15 |
| noun1.neg | negativity score for the left noun alone (between 0 and 1) | 0 |
| noun1.neu | neutrality score for the left noun alone (between 0 and 1) | 0.85 |
| noun2 | the right noun in the compound | security |
| noun2.pos | positivity score for the right noun alone (between 0 and 1) | 0.65 |
| noun2.neg | negativity score for the right noun alone (between 0 and 1) | 0 |
| noun2.neu | neutrality score for the right noun alone (between 0 and 1) | 0.35 |
## License
Noun-Noun Compound Sentiment Lexicon by Educational Testing Service is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.