@inproceedings{019daacdee1847dda1db9ba0dc91a31f,
title = "Identifying student online discussions with unanswered questions",
abstract = "This paper presents an approach for identifying student discussions with unresolved issues or unanswered questions. In order to handle highly incoherent data, we perform several data processing steps. We then apply a two-phase classification algorithm. First, we classify {"}speech acts{"} of individual messages to identify the roles that the messages play, such as question, issue raising, and answers. We then use the resulting speech acts as features for classifying discussion threads with unanswered questions or unresolved issues. We performed a preliminary analysis of the classifiers and the system shows an average F score of 0.76 in discussion thread classification.",
keywords = "Algorithms, H.3.1 content analysis and indexing, H.4 information systems applications I.2.7: natural language processing, Human factors, Languages",
author = "Jihie Kim and Jia Li and Taehwan Kim",
year = "2009",
month = sep,
day = "1",
doi = "10.1145/1597735.1597779",
language = "English",
isbn = "9781605586588",
series = "K-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture",
publisher = "Association for Computing Machinery (ACM)",
pages = "195--196",
booktitle = "K-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture",
address = "United States",
note = "5th International Conference on Knowledge Capture, K-CAP'09 ; Conference date: 01-09-2009 Through 04-09-2009",
}