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Author-topic tutorial typos #1102

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Jan 22, 2017
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Author-topic tutorial typos #1102

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4 changes: 2 additions & 2 deletions docs/notebooks/atmodel_tutorial.ipynb
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Expand Up @@ -23,7 +23,7 @@
">\n",
"> To run this tutorial on your own, install Jupyter, Gensim, SpaCy, Scikit-Learn, Bokeh and Pandas, e.g. using pip:\n",
">\n",
"> `pip install jupyter[all] gensim spacy sklearn bokeh pandas`\n",
"> `pip install jupyter gensim spacy sklearn bokeh pandas`\n",
">\n",
"> Note that you need to download some data for SpaCy using `python -m spacy.en.download`.\n",
">\n",
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"source": [
"These topics are by no means perfect. They have problems such as *chained topics*, *intruded words*, *random topics*, and *unbalanced topics* (see [Mimno and co-authors 2011](https://people.cs.umass.edu/~wallach/publications/mimno11optimizing.pdf)). They will do for the purposes of this tutorial, however.\n",
"\n",
"Below, we use the `model[name]` syntax to retrieve the topic distribution for an author. Each topic has a probability of being expressed given the particalar author, but only the ones above a certain threshold are shown."
"Below, we use the `model[name]` syntax to retrieve the topic distribution for an author. Each topic has a probability of being expressed given the particular author, but only the ones above a certain threshold are shown."
]
},
{
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