santeldm

## gensim_word2vec_make_semantic_network.py
"""
Code to make a network out of the shortest N cosine-distances (or, equivalently, the strongest N associations)
between a set of words in a gensim word2vec model.

To use:
Set the filenames for the word2vec model.
Set `my_words` to be a list of your own choosing.
Set `num_top_dists` to be a number or a factor of the length of `my_words.`
Choose between the two methods below to produce distances, and comment-out the other one.
"""
	"""
	Code to make a network out of the shortest N cosine-distances (or, equivalently, the strongest N associations)
	between a set of words in a gensim word2vec model.

	To use:
	Set the filenames for the word2vec model.
	Set `my_words` to be a list of your own choosing.
	Set `num_top_dists` to be a number or a factor of the length of `my_words.`
	Choose between the two methods below to produce distances, and comment-out the other one.
	"""