Investigating Verbal Intelligence Using the TF-IDF Approach

Kseniya Zablotskaya, Fernando Fernández Martínez, Wolfgang Minker


Abstract
In this paper we investigated differences in language use of speakers yielding different verbal intelligence when they describe the same event. The work is based on a corpus containing descriptions of a short film and verbal intelligence scores of the speakers. For analyzing the monologues and the film transcript, the number of reused words, lemmas, n-grams, cosine similarity and other features were calculated and compared to each other for different verbal intelligence groups. The results showed that the similarity of monologues of higher verbal intelligence speakers was greater than of lower and average verbal intelligence participants. A possible explanation of this phenomenon is that candidates yielding higher verbal intelligence have a good short-term memory. In this paper we also checked a hypothesis that differences in vocabulary of speakers yielding different verbal intelligence are sufficient enough for good classification results. For proving this hypothesis, the Nearest Neighbor classifier was trained using TF-IDF vocabulary measures. The maximum achieved accuracy was 92.86%.
Anthology ID:
L12-1170
Volume:
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
Month:
May
Year:
2012
Address:
Istanbul, Turkey
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
1573–1576
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/352_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Kseniya Zablotskaya, Fernando Fernández Martínez, and Wolfgang Minker. 2012. Investigating Verbal Intelligence Using the TF-IDF Approach. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 1573–1576, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Investigating Verbal Intelligence Using the TF-IDF Approach (Zablotskaya et al., LREC 2012)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/352_Paper.pdf