From 23964411287fe9e21793093739c5c033ce1896e6 Mon Sep 17 00:00:00 2001 From: Angel Mendez Date: Sat, 19 Feb 2022 12:11:07 -0600 Subject: [PATCH] feat: Add file content to translate --- .../translations/assignment.es.md | 10 ++++++++++ 1 file changed, 10 insertions(+) create mode 100644 6-NLP/3-Translation-Sentiment/translations/assignment.es.md diff --git a/6-NLP/3-Translation-Sentiment/translations/assignment.es.md b/6-NLP/3-Translation-Sentiment/translations/assignment.es.md new file mode 100644 index 00000000..e8c990e7 --- /dev/null +++ b/6-NLP/3-Translation-Sentiment/translations/assignment.es.md @@ -0,0 +1,10 @@ +# Poetic license + +## Instructions + +In [this notebook](https://www.kaggle.com/jenlooper/emily-dickinson-word-frequency) you can find over 500 Emily Dickinson poems previously analyzed for sentiment using Azure text analytics. Using this dataset, analyze it using the techniques described in the lesson. Does the suggested sentiment of a poem match the more sophistic Azure service's decision? Why or why not, in your opinion? Does anything surprise you? +## Rubric + +| Criteria | Exemplary | Adequate | Needs Improvement | +| -------- | -------------------------------------------------------------------------- | ------------------------------------------------------- | ------------------------ | +| | A notebook is presented with a solid analysis of an author's sample output | The notebook is incomplete or does not perform analysis | No notebook is presented |