| Full text | |
| Author(s): |
Sinoara, Roberta A.
;
Rossi, Rafael G.
;
Rezende, Solange O.
;
IEEE
Total Authors: 4
|
| Document type: | Journal article |
| Source: | 2016 23RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR); v. N/A, p. 6-pg., 2016-01-01. |
| Abstract | |
Although good results for automatic text classification can be achieved with the use of bag-of-words representation, this model is not suitable for all classification problems and richer text representations can be required. In this paper, we proposed two text representation models based on semantic role labels and analyzed them in text classification scenarios. We also evaluated the combination of bag-of-words with a semantic representation considering ensemble multi-view strategies. We explored different classification problems for two text collections and pointed out situations that require more than a bag-of-words. The experimental evaluation indicates that the combination of bag-of-words and a text representation based on semantic role labels can improve text classification accuracies. (AU) | |
| FAPESP's process: | 16/07620-2 - Semantic Representation for Text Classification |
| Grantee: | Roberta Akemi Sinoara |
| Support Opportunities: | Scholarships abroad - Research Internship - Doctorate |
| FAPESP's process: | 14/08996-0 - Machine learning for WebSensors: algorithms and applications |
| Grantee: | Solange Oliveira Rezende |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 11/12823-6 - Pattern extraction from textual document collections using heterogeneous networks |
| Grantee: | Rafael Geraldeli Rossi |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| FAPESP's process: | 13/14757-6 - Incorporating the semantics into the websensors construction process |
| Grantee: | Roberta Akemi Sinoara |
| Support Opportunities: | Scholarships in Brazil - Doctorate |