NewSoMe Corpus of Opinion in Blogs
| Item Name: | NewSoMe Corpus of Opinion in Blogs |
| Author(s): | Roser Sauri, Judith Domingo, Toni Badia |
| LDC Catalog No.: | LDC2016T03 |
| ISBN: | 1-58563-740-8 |
| ISLRN: | 805-617-544-777-2 |
| DOI: | https://doi.org/10.35111/60j1-yd62 |
| Release Date: | January 18, 2016 |
| Member Year(s): | 2016 |
| DCMI Type(s): | Text |
| Data Source(s): | weblogs |
| Application(s): | discourse analysis, information extraction |
| Language(s): | English, Spanish |
| Language ID(s): | eng, spa |
| License(s): |
LDC User Agreement for Non-Members |
| Online Documentation: | LDC2016T03 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Sauri, Roser, Judith Domingo, and Toni Badia. NewSoMe Corpus of Opinion in Blogs LDC2016T03. Web Download. Philadelphia: Linguistic Data Consortium, 2016. |
| Related Works: | View |
Introduction
NewSoMe Corpus of Opinion in Blogs was compiled at Barcelona Media and consists of English and Spanish blogs annotated for opinions. It is part of the NewSoMe (News and Social Media) set of corpora presenting opinion annotations across several genres and covering multiple languages. NewSoMe is the result of an effort to build a unifying annotation framework for analyzing opinion in different genres, ranging from controlled text, such as news reports, to diverse types of user-generated content that includes blogs, product reviews and microblogs.
LDC has also released NewSoMe Corpus of Opinion in News Reports (LDC2015T17).
Data
The source data in this corpus was obtained by means of the Google Blog Search API. Spanish blogs were taken from wordpress.com and blogspot.com blogs. The English data was extracted from those same two domains and from asiawrites.org.
This release consists of 108 English documents and 191 Spanish documents. The annotation was carried out manually through the crowdsourcing platform CrowdFlower with seven annotations per layer that were aggregated for this data set. The layers annotated were topic, segment, cue, subjectivity, polarity and intensity.
Data is presented as UTF-8 either as plain text or in CSV files.
Samples
Please view thiese samples:
Updates
None at this time.