I'm trying to download then load a pre-trained model with the gensim downloader to/from a specific location. It looks like I can successfully specify the download location using gensim.downloader.BASE_DIR but then I can't figure out how to load from that…
When I do the below: >>> import gensim.downloader as api >>> model = api.load("glove-twitter-25") # load glove vectors the gensim.downloader API throws the below error: [Errno 2] No such file or directory: '/Users/vtim/gensim-data/information.json'. What am I doing wrong?
So, I have a keyword list lowercase. Let's say keywords = ['machine learning', 'data science', 'artificial intelligence'] and a list of texts in lowercase. Let's say texts = [ 'the new machine learning model built by google is revolutionary for…
I am trying to run gensim WMD similarity faster. Typically, this is what is in the docs: Example corpus: my_corpus = ["Human machine interface for lab abc computer applications", >>> "A survey of user opinion of computer system response time",…