Document Similarity for Texts of Varying Lengths via Hidden Topics
Table 2: Classification results for the Concept-Project Matching task. All performance differences were statistically significant at p=0.01.
['method', 'topic_science', 'topic_wiki', 'wmd_science', 'wmd_wiki', 'doc2vec_science', 'doc2vec_wiki']
Classification Evaluation. Annotations from students provided the ground truth labels for the classification task. We randomly split the dataset into tuning and test instances with a ratio of 1:9. A threshold score was tuned on the tuning data, and concept-project pairs with scores higher than this threshold were classified as a good matches during testing.