Update README.md

ddangelov · Mar 23, 2020 · c33e6c5 · c33e6c5
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 **The Algorithm:**
 
-1. Create jointly embedded document and word vectors using [Doc2Vec](https://radimrehurek.com/gensim/models/doc2vec.html). 
+1. Create jointly embedded document and word vectors using [Doc2Vec](https://radimrehurek.com/gensim/models/doc2vec.html).
+![Joint Document and Word Embedding](images/doc_word_embedding.svg)
 2. Create lower dimensional embedding of document vectors using [UMAP](https://github.com/lmcinnes/umap)
 3. Find dense areas of documents using [HDBSCAN](https://github.com/scikit-learn-contrib/hdbscan)
 4. For each dense area calculate centroid of document vectors in original dimension. (centroid = topic vector)