International Conference on Knowledge Engineering and the Semantic Web

Knowledge Engineering and Semantic Web pp 195-209

Interactive Coding of Responses to Open-Ended Questions in Russian

Conference paper

DOI: 10.1007/978-3-319-24543-0_15

Part of the Communications in Computer and Information Science book series (CCIS, volume 518)
Cite this paper as:
Senderovich N., Maysuradze A. (2015) Interactive Coding of Responses to Open-Ended Questions in Russian. In: Klinov P., Mouromtsev D. (eds) Knowledge Engineering and Semantic Web. Communications in Computer and Information Science, vol 518. Springer, Cham

Abstract

We propose an interactive technique to categorize the responses to open-ended questions. The open-ended question requires a response which is a natural language phrase. A typical analysis of the phrases starts with their ’coding’, that is, identifying themes of the responses and tagging the responses with the themes they represent. The proposed coding technique is based on interactive cluster analysis. We study theoretically and empirically the hierarchical (agglomerative, divisive) and partitional clustering algorithms to pick the best one for short Russian responses. We address the problem of the short phrase sparseness with thesaurus smoothing. We introduce an iterative process where users can provide some feedback to a clustering result. A domain-oriented system of statements is developed for users’ feedback. The system is proved to be able to provide any clusters the user desires. The technique is implemented as a web service for responses in Russian.

Keywords

Open-ended questions Short text categorization Interactive clustering Russian thesaurus 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Faculty of Computational Mathematics and CyberneticsLomonosov Moscow State UniversityMoscowRussia

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