Semantic analysis of AI abstracts. Generates topic mixes by paper and a topic map based on eg topic mix co-occurrence in papers we can use to identify the links between regions of AI research and switching outcomes.
[ ] Text pre-processing
[ ] Train topic model
[ ] Topic map
Are we training the topic models for all corpus or for all corpus before a cut-off year or a topic model for each year...?
Semantic analysis of AI abstracts. Generates topic mixes by paper and a topic map based on eg topic mix co-occurrence in papers we can use to identify the links between regions of AI research and switching outcomes.
Are we training the topic models for all corpus or for all corpus before a cut-off year or a topic model for each year...?