Name
Abstract | ||
|---|---|---|
Adequate and reliable lexical resources are essential for effective sentiment analysis and opinion mining. This paper proposes a methodology for the emotional assessment and annotation of words. The process is based on the Self Assessment Manikin test, and is coupled with two psychometric measurements for identifying possible bias due to the annotator's psychological condition and personality: the EPQ scale and the SCL-90-R scale. A web based tool was developed to support the process. The methodology was validated through a pilot study in which 10 participants were asked to assess the emotional state elicited by each of 75 verbs that were used as stimuli. Results are compared with SentiWordNet's emotional scoring on respective verbs, and primarily show logical continuity and consistency. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-41033-8_75 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
Verbs,Emotional State,SentiWordNet | Annotation,Sentiment analysis,Psychology,Self,Artificial intelligence,Natural language processing,Web application,Personality | Conference |
Volume | ISSN | Citations |
8186 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 4 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nikolaos Papatheodorou | 1 | 3 | 1.80 |
| Pepi Stavropoulou | 2 | 11 | 3.68 |
| Dimitrios Tsonos | 3 | 20 | 5.06 |
| Georgios Kouroupetroglou | 4 | 167 | 28.90 |
| Dimitris Spiliotopoulos | 5 | 78 | 16.93 |
| Charalambos Papageorgiou | 6 | 0 | 1.01 |