5.1 Welcome to Unit 5
5.2 Turning Tweets into Knowledge: An Introduction to Text Analytics
- 5.2.1 Video 1: Twitter
- 5.2.2 Video 2: Text Analytics
- 5.2.3 Quick Question
- 5.2.4 Video 3: Creating the Dataset
- 5.2.5 Quick Question
- 5.2.6 Video 4: Bag of Words
- 5.2.7 Quick Question
- 5.2.8 Video 5: Pre-Processing in R
- 5.2.9 Quick Question
- 5.2.10 Video 6: Bag of Words in R
- 5.2.11 Quick Question
- 5.2.12 Video 7: Predicting Sentiment
- 5.2.13 Quick Question
- 5.2.14 Video 8: Conclusion
5.3 Man vs. Machine: How IBM Built a Jeopardy Champion
- 5.3.1 Video 1: IBM Watson
- 5.3.2 Quick Question
- 5.3.3 Video 2: The Game of Jeopardy
- 5.3.4 Quick Question
- 5.3.5 Video 3: Watson’s Database and Tools
- 5.3.6 Quick Question
- 5.3.7 Video 4: How Watson Works - Steps 1 and 2
- 5.3.8 Quick Question
- 5.3.9 Video 5: How Watson Works - Steps 3 and 4
- 5.3.10 Quick Question
- 5.3.11 Video 6: The Results
5.4 Predictive Coding: Bringing Text Analytics to the Courtroom (Recitation)
- 5.4.1 Welcome to Recitation 5
- 5.4.2 Video 1: The Story of Enron
- 5.4.3 Video 2: The Data
- 5.4.4 Video 3: Pre-Processing
- 5.4.5 Video 4: Bag of Words
- 5.4.6 Video 5: Building Models
- 5.4.7 Video 6: Evaluating the Model
- 5.4.8 Video 7: The ROC Curve
- 5.4.9 Video 8: Predictive Coding Today
5.5 Assignment 5
