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1 | 1 | # Applied-Text-Mining-in-Python
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2 | 2 |
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3 | | -### Module 1: Working with Text in Python |
| 3 | +## Module 1: Working with Text in Python |
4 | 4 | 5 videos, 4 readings, 1 practice quiz
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5 | 5 |
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6 | 6 | Reading: Course Syllabus
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@@ -37,27 +37,73 @@ Graded: Module 1 Quiz
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37 | 37 |
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38 | 38 | Graded: Assignment 1 Submission
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39 | 39 |
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40 | | -### Module 2: Basic Natural Language Processing |
| 40 | +## Module 2: Basic Natural Language Processing |
41 | 41 | 3 videos, 1 practice quiz
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| 42 | + |
42 | 43 | Video: Basic Natural Language Processing
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| 44 | + |
43 | 45 | Notebook: Module 2 (Python 3)
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| 46 | + |
44 | 47 | Video: Basic NLP tasks with NLTK
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| 48 | + |
45 | 49 | Video: Advanced NLP tasks with NLTK
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| 50 | + |
46 | 51 | Practice Quiz: Practice Quiz
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| 52 | + |
47 | 53 | Discussion Prompt: Finding your own prepositional phrase attachment
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| 54 | + |
48 | 55 | Notebook: Assignment 2
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| 56 | + |
49 | 57 | Show less
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| 58 | + |
50 | 59 | Graded: Module 2 Quiz
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| 60 | + |
51 | 61 | Graded: Assignment 2 Submission
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52 | 62 |
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53 | | -### Module 3: Classification of Text |
| 63 | +## Module 3: Classification of Text |
54 | 64 | 7 videos
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55 | | -expand |
| 65 | + |
| 66 | +Video: Text Classification |
| 67 | + |
| 68 | +Video: Identifying Features from Text |
| 69 | + |
| 70 | +Video: Naive Bayes Classifiers |
| 71 | + |
| 72 | +Video: Naive Bayes Variations |
| 73 | + |
| 74 | +Video: Support Vector Machines |
| 75 | + |
| 76 | +Video: Learning Text Classifiers in Python |
| 77 | + |
| 78 | +Notebook: Case Study - Sentiment Analysis |
| 79 | + |
| 80 | +Video: Demonstration: Case Study - Sentiment Analysis |
| 81 | + |
| 82 | +Notebook: Assignment 3 |
| 83 | + |
56 | 84 | Graded: Module 3 Quiz
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| 85 | + |
57 | 86 | Graded: Assignment 3 Submission
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58 | 87 |
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59 | | -### Module 4: Topic Modeling |
| 88 | +## Module 4: Topic Modeling |
60 | 89 | 4 videos, 2 readings, 1 practice quiz
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61 | | -expand |
| 90 | + |
| 91 | +Video: Semantic Text Similarity |
| 92 | + |
| 93 | +Video: Topic Modeling |
| 94 | + |
| 95 | +Video: Generative Models and LDA |
| 96 | + |
| 97 | +Practice Quiz: Practice Quiz |
| 98 | + |
| 99 | +Video: Information Extraction |
| 100 | + |
| 101 | +Reading: Additional Resources & Readings |
| 102 | + |
| 103 | +Notebook: Assignment 4 |
| 104 | + |
| 105 | +Reading: Post-Course Survey |
| 106 | + |
62 | 107 | Graded: Module 4 Quiz
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| 108 | + |
63 | 109 | Graded: Assignment 4 Submission
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