Learning Topics using Semantic Locality
TABLE III: Different Word Pair Generation Algorithms for OMDb
['[BOLD] mAP', '[BOLD] Baseline', '[BOLD] Semantic', '[BOLD] N-gram', '[BOLD] Non-K']
This is because, although both “Non-K” and “semantic” techniques extract word pairs using natural language processing, without the K-means clustering, semantically similar pairs will be considered separately. Hence there will be lots of redundancies in the input space. This will either increase the size of the input space, or, in order to control the input size, reduce the amount of information captured by the input set. The K-means clustering performs the function of compression and feature extraction.