| 1 |
Automatic Misogyny Detection in Social Media: a Survey
|
|
|
|
In: Conference Papers (2019)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
Disambiguating Company Names in Microblog Text Using Clustering for Online Reputation Management
|
|
|
|
In: Articles (2015)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Identifying Subjective Statements in News Titles Using a Personal Sense Annotation Framework
|
|
|
|
In: Articles (2013)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Identifying subjective statements in news titles using a personal sense annotation framework
|
|
|
|
Abstract:
This is the accepted version of the following article: Panicheva, P.; Cardiff, J.; Rosso, P. (2013). Identifying subjective statements in news titles using a personal sense annotation framework. Journal of the American Society for Information Science and Technology. 64(7):1411-1422 , which has been published in final form at http://dx.doi.org/10.1002/asi.22841. ; [EN] Subjective language contains information about private states. The goal of subjective language identification is to determine that a private state is expressed, without considering its polarity or specific emotion. A component of word meaning, "Personal Sense," has clear potential in the field of subjective language identification, as it reflects a meaning of words in terms of unique personal experience and carries personal characteristics. In this paper we investigate how Personal Sense can be harnessed for the purpose of identifying subjectivity in news titles. In the process, we develop a new Personal Sense annotation framework for annotating and classifying subjectivity, polarity, and emotion. The Personal Sense framework yields high performance in a fine-grained subsentence subjectivity classification. Our experiments demonstrate lexico-syntactic features to be useful for the identification of subjectivity indicators and the targets that receive the subjective Personal Sense. ; The work of Paolo Rosso was done within the EC WIQEI IRSES project (grant no. 269180) FP 7 Marie Curie People Framework, the MICINN Text-Enterprise 2.0 project (TIN2009-13391-C04-03) Plan I+D+I, and the VLC/CAMPUS Microcluster on Multimodal Interaction in Intelligent Systems. We are grateful to the anonymous reviewers for helpful comments. ; Panicheva, P.; Cardiff, J.; Rosso, P. (2013). Identifying subjective statements in news titles using a personal sense annotation framework. Journal of the American Society for Information Science and Technology. 64(7):1411-1422. https://doi.org/10.1002/asi.22841 ; S ; 1411 ; 1422 ; 64 ; 7
|
|
Keyword:
LENGUAJES Y SISTEMAS INFORMATICOS; Natural language processing
|
|
URL: https://doi.org/10.1002/asi.22841
http://hdl.handle.net/10251/38971
|
|
BASE
|
|
Hide details
|
|
|
| 6 |
Evaluating the Similarity Estimator Component of the TWIN Personality-based Recommender System
|
|
|
|
In: Conference Papers (2012)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
User Profile Construction in the TWIN Personality-based Recommender System
|
|
|
|
In: Conference Papers (2011)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Personal Sense and Idiolect: Combining Authorship Attribution and Opinion Analysis
|
|
|
|
In: Conference Papers (2010)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
New Trends in Automatic Assessment: Ontology Matching
|
|
|
|
In: Conference Papers (2010)
|
|
BASE
|
|
Show details
|
|
|
|
|
