Summary of the paper
| Title | Investigating Verbal Intelligence Using the TF-IDF Approach |
|---|---|
| Authors | Kseniya Zablotskaya, Fernando Fernández Martínez and 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%. |
| Topics | Corpus (creation, annotation, etc.), Document Classification, Text categorisation, Evaluation methodologies |
Full paper  |
Investigating Verbal Intelligence Using the TF-IDF Approach |
| Bibtex | @InProceedings{ZABLOTSKAYA12.352, author = {Kseniya Zablotskaya and Fernando Fernández Martínez and Wolfgang Minker}, title = {Investigating Verbal Intelligence Using the TF-IDF Approach}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |