patrickdrouin

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patrickdrouin / crawl_news.py

Created November 14, 2022 17:08

Code d'aspiration de sites de nouvelles

	import newspaper
	from newspaper import Config
	from newspaper import Article

	USER_AGENT = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:78.0) Gecko/20100101 Firefox/78.0'

	config = Config()
	config.browser_user_agent = USER_AGENT
	config.request_timeout = 10

patrickdrouin / gensim_word2vec_procrustes_align.py

Created March 19, 2019 20:41 — forked from tangert/gensim_word2vec_procrustes_align.py

Code for aligning two or more word2vec models using Procrustes matrix alignment. Code originally ported from HistWords <https://github.com/williamleif/histwords> by William Hamilton <[email protected]>.

	def align_gensim_models(models, words=None):
	"""
	Returns the aligned/intersected models from a list of gensim word2vec models.
	Generalized from original two-way intersection as seen above.

	Also updated to work with the most recent version of gensim
	Requires reduce from functools

	In order to run this, make sure you run 'model.init_sims()' for each model before you input them for alignment.

patrickdrouin / gensim_word2vec_make_semantic_network.py

Created March 19, 2019 20:40 — forked from quadrismegistus/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.

	"""
	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.
	"""