dso-560-nlp-text-analytics-SPRING-2021

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dso-560-nlp-text-analytics-SPRING-2021

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Course repository for students enrolled in DSO560: Text Analytics and Natural Language Processing for the Spring 2021 Semester at USC.

dso-560-nlp-text-analytics-SPRING-2021 최신버젼 다운로드

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# DSO560 Natural Language Processing & Text Analytics

## Slack Workspace

We will be using Slack workspaces for most of our course communications, including submitting
classwork, homework, and grading.

Your final grades will be posted on Blackboard, but feedback for assignments will be delivered via Slack.

Prior to Week 1's session, please [join the Slack workspace](https://join.slack.com/t/dso560textana-piq5399/shared_invite/zt-nlx7nesm-HlMz4BM7yDfj83E1HEQCUg). **Note that this is a different Slack workspace than the auto-created workspaces by USC Marshall** (I am creating my own workspace since I need extra permissions to automate sending grades / notifications via the Slack chatbot apps).

## Week 1 (Tuesday, March 16th)

* [Cloning, Forking, and Syncing Github Repositories](https://www.youtube.com/watch?v=vRxUGhMYHGQ&feature=youtu.be)
* [Lecture Recording](https://usc.zoom.us/rec/share/GFDE-mobQCeuWNfC1-JMInNRRFYwcfUguSZp-j0tlVaGvytH9Hl8VKoFf78niZBg.k_PYCEQDkdk3RC3m?startTime=1615944773000)

### Google Colab Notebooks (Please Make Sure to Save Your Own Copy)
* [Regex Exercises](https://colab.research.google.com/drive/1xWpB7ltOGRF_t020OKPS8uFSv-hgqIBb?usp=sharing)
* [Additional Practice](https://colab.research.google.com/drive/1219hBrQphxAmDuuIDj1buAaGy3tPjfN1?usp=sharing)
* [Basic Python Operations for Working With Text](https://colab.research.google.com/drive/10WBSpNgDDZkaidsgucs4suaAbYUgyuzA?usp=sharing)

## Week 2

* [Lecture Recording](https://usc.zoom.us/rec/share/aM2GQkc5S2QkidpWNQZB1rjDxcUO8qqcl-zSpFasSWiRorI2D0HhBgDXF5nvwgQK.caQX8IKfVhd8LACR?startTime=1616549879000)

### Google Colab Notebooks (Please Make Sure to Save Your Own Copy)
* [Regex Practice Part II](https://colab.research.google.com/drive/1XyN7gs-IB-ZCaEIkAT9Bwwi83A0QFP1j?usp=sharing)
* [Text Encodings](https://colab.research.google.com/drive/1JsvzZ7zKOS0iy32_4utsvyXp6CVQiKWn?usp=sharing)
* [Text Pre-Processing Techniques](https://colab.research.google.com/drive/1vzl4lJ5eG7xHZ_J_LZgU8uE8XpmFSU6g?usp=sharing)
* [Linear Algebra and Similarity](https://colab.research.google.com/drive/1Rb5-UrAFXTwQQ8nN25rsUfhx9kPueUN6?usp=sharing)

## Week 3

* [Lecture Recording](https://usc.zoom.us/rec/share/v7ZKjlZOLv-YPmyjuJieczGvC3CUsHr9KFl4zvMp_s5A6zAUCiDnLK0IYad6WEIP.Quisagp0VQUVtH-H?startTime=1617154333000)

### Google Colab Notebooks
* [Probabilities and N-Gram Language Models](https://colab.research.google.com/drive/1ZLUQYqSfpIgF4oOGFgXBczkCrRGkMtjL?usp=sharing)
* [Naive Bayes](https://colab.research.google.com/drive/1hu7S1_4T3NfmQuRFvjem4oEJbWw4mX3Q?usp=sharing)
* [Cosine Similarity, PMI, Collocation, TF-IDF](https://colab.research.google.com/drive/1UzPa_LobkrTx8TyekeDwpxfvCmJOf_wF?usp=sharing)
* [Regex Practice](https://colab.research.google.com/drive/1xQY4SzoJJN7FjqTcUWgFnDEq4kxWGTvF?usp=sharing)

## Week 4

### Google Colab Notebooks
* [Independence](https://colab.research.google.com/drive/1yyQ12ZI6PRtdyga6nyEOrJV1LmEp1eAR?usp=sharing)
* [Dimensionality Reduction](https://colab.research.google.com/drive/1cV73JTMmigA0IT7wxpABn-zMUtWJFB-x?usp=sharing)
* [Advanced Regex](https://colab.research.google.com/drive/1KWmT7L9UZZ3GkJWQEDp1r9moT1aF8r8M?usp=sharing)

## Week 5
* [Pandas Regex Replace and Capture Groups](https://colab.research.google.com/drive/1ta0FiGxNY1WLc9VOf0Yl8gO7utp1TR-R?usp=sharing)

## Week 6

## Week 7
* [Tips and Tricks with String Matching](https://colab.research.google.com/drive/1zlNn20OUx1dJwN8oyLb6Q4OpPoRoOTcC?usp=sharing)
* [Using TF-IDF Weighted Word Embeddings](https://colab.research.google.com/drive/1CZa723-_mDmNJPG2oiExgWYF9nqbueeY?usp=sharing)
* [Word2Vec Part II](https://colab.research.google.com/drive/1IYWXde5jQxD-4k0hGy7mkSRh_kueoohX?usp=sharing)
* [Deep Learning with Word Embeddings](https://colab.research.google.com/github/ychennay/dso-560-nlp-text-analytics-SPRING-2021/blob/main/Week%207/Deep%20Learning%20with%20Word%20Embeddings.ipynb#scrollTo=TR0hsaNmN5xc)

## Week 8
* [RNNs and LSTMs with NLP Classification Tasks](https://colab.research.google.com/drive/1K8-FOCb64oqtyLjWMvPMTlhbRPn53rsj?usp=sharing)
* [Attention Models](https://colab.research.google.com/drive/1qV6R-CoC7ry8gBJzcNqRExwB4eO9wP8m?usp=sharing)

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