NimbleMiner: a software that allows users to interact with word embedding to rapidly create lexicons of similar terms, conduct weakly supervised labeling, and implement text mining
Major new features:
1) Building of additonal word embedding type - GloVe
2) Extraction simclins from multiple models
3) The labeling algorithm was improving:
If there is any true simclin which is included in more long n-grams simclin, then the longest n-gram simclin will be considered
filtering of positive lebeled docs was accelerated
4) Labeling input dataset by docs, sentences or paragraphs by user choice
Minor new features:
1) Renaming category is available now
2) Simclins/ negations found during labeling process are sorted in alphabetical order now
3) NA in csv with labeling results are replaced by blanks
Fixed bugs:
1) bug in exceptions` table after new exception for current category was created
Major new features: 1) Building of additonal word embedding type - GloVe 2) Extraction simclins from multiple models 3) The labeling algorithm was improving: