Table 2.

NLP libraries for MIDD

Library name	Features
	Programming language	Pretrained neural network models	Word embeddings	Multi-language support	Tokenization	Part-of-speech tagging	Stemming/lemmatization	Named entity recognition	Entity resolution	Sentiment analysis	Relation extraction	Assertion status detection	Topic modeling
Spacy43	Python	x	x	x	x	x	x	x	x		x
Gensim44	Python	x	x	x	x		x		x				x
NLTK45	Python	x		x	x	x	x	x		x	x
CoreNLP46	Java	x		x	x	x	x	x	x	x	x
Scispacy47	Python	x	x	x	x	x	x	x	x		x
SparkNLP48	Python, Java, Scala, R	x	x	x	x	x	x	x	x	x	x	x	x
SparkNLP for healthcare49	Python, Java, Scala, R	x	x		x	x	x	x	x	x	x	x
Torchtext50	Python	x	x		x	x
KoRpus51	R			x	x	x
Tensorflow52	Python	x	x	x	x	x	x	x		x	x		x
Scikit learn53	Python				x					x			x
Textblob54	Python				x	x	x			x
Pattern55	Python, R		x		x	x	x			x
Hugging face56	Python	x		x				x		x			x
Allen NLP57	Python	x	x		x	x	x	x	x	x	x
Fasttext21	Python	x	x	x	x					x			x
Stanza58	Python	x		x	x	x	x	x			x
Flair59	Python		x	x		x		x		x			x
Fastai60	Python	x	x		x					x
Spacyr61	R	x		x	x	x		x			x