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### 3. Cluster Posts
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We are going to try using [Doc2Vec](https://radimrehurek.com/gensim/models/doc2vec.html) on the sentences for each post, and then generating embeddings, and using kmeans for the embeddings. Since I didn't want to install a ton of Python libraries on my host, I decided
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to build a container to generate the notebook.
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We are going to try using [Doc2Vec](https://radimrehurek.com/gensim/models/doc2vec.html) on the sentences for each post, and then generating embeddings, and using kmeans for the embeddings. Since I didn't want to install a ton of Python libraries on my host, I decided to build a container to generate the notebook.
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```bash
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$ docker build -t vanessa/askci-cluster-gensim .
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```
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Then run the container, and map port 8888 to expose the notebook.
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You actually don't need to do this if you don't want to, the container
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is provide on [Docker Hub](https://hub.docker.com/r/vanessa/askci-cluster-gensim/tags) (note
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that I've also tagged a version for the date of data export). Either way,
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then run the container, and map port 8888 to expose the notebook.
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```bash
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$ docker run -it -p 8888:8888 vanessa/askci-cluster-gensim
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