upload vocab

README.md

@@ -22,7 +22,7 @@ widget:
 
 # EarningsCall2Vec
 
-**EarningsCall2Vec** is a [fastText](https://fasttext.cc/) word embedding model that was trained via [Gensim](https://radimrehurek.com/gensim/). It maps each token in the vocabulary to a dense, 300-dimensional vector space, designed for performing **semantic search**. More details about the training procedure can be found in section [xxx](#xxx).
+**EarningsCall2Vec** is a [fastText](https://fasttext.cc/) word embedding model that was trained via [Gensim](https://radimrehurek.com/gensim/). It maps each token in the vocabulary to a dense, 300-dimensional vector space, designed for performing **semantic search**. More details about the training procedure can be found [below](#model-training).
 
 
 ## Background
@@ -69,13 +69,10 @@ model = load_facebook_model(<PATH-MODEL>)
 
 # extract word embeddings
 model.wv['transformation']
-
 # get similar phrases
 model.wv.most_similar(positive='transformation', topn=5)
-
 # get dissimilar phrases
 model.wv.most_similar(negative='transformation', topn=5, restrict_vocab=None)
-
 # compute pairwise similarity scores (distance = 1 - similarity)
 model.wv.similarity('transformation', 'continuity')
 ```