Name
Abstract | ||
|---|---|---|
EmotiBlog is a corpus labelled with the homonymous annotation schema designed for detecting subjectivity in the new textual genres. Preliminary research demonstrated its relevance as a Machine Learning resource to detect opinionated data. In this paper we compare EmotiBlog with the JRC corpus in order to check the EmotiBlog robustness of annotation. For this research we concentrate on its coarse-grained labels. We carry out a deep ML experimentation also with the inclusion of lexical resources. The results obtained show a similarity with the ones obtained with the JRC demonstrating the EmotiBlog validity as a resource for the SA task. |
Year | Venue | Keywords |
|---|---|---|
2011 | NLDB | emotiblog validity,sentiment analysis task,homonymous annotation schema,lexical resource,jrc corpus,preliminary research,deep ml experimentation,coarse-grained label,emotiblog robustness,sa task,machine learning resource,sentiment analysis |
Field | DocType | Volume |
Annotation,Information retrieval,Computer science,Sentiment analysis,Robustness (computer science),Artificial intelligence,Natural language processing,Schema (psychology) | Conference | 6716 |
ISSN | Citations | PageRank |
0302-9743 | 2 | 0.36 |
References | Authors | |
14 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Javi Fernandez | 1 | 20 | 5.65 |
| Ester Boldrini | 2 | 94 | 12.69 |
| José Manuel Gómez | 3 | 16 | 4.26 |
| Patricio Martínez-Barco | 4 | 282 | 43.37 |