Affect Enriched Word Embeddings for News Information Retrieval
Table 4: Ranking experiments on CACM
['Ranking experiments on CACM Model', 'Ranking experiments on CACM NDCG', 'Ranking experiments on CACM MAP']
We observe that usage of term embeddings generally causes steadily higher NDCG and MAP. In particular the paragaram embeddings models report the best results, with affect enriched paragram embeddings reporting both best NDCG and MAP, 0.02 better than non affect enriched paragram embeddings results in both NDCG and MAP.