Add quizzes for NLP 4
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@ -391,7 +391,7 @@ Now that you have explored the dataset, in the next lesson you will filter the d
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This lesson demonstrates, as we saw in previous lessons, how critically important it is to understand your data and its foibles before performing operations on it. Text-based data, in particular, bears careful scrutiny. Dig through various text-heavy datasets and see if you can discover areas that could introduce bias or skewed sentiment into a model.
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## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/38/)
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## [Post-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/38/)
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## Review & Self Study
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@ -2041,48 +2041,52 @@
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"title": "NLP 4: Pre-Lecture Quiz",
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"quiz": [
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{
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"questionText": "q1",
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"questionText": "What information can we get from text that was written or spoken by a human?",
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"answerOptions": [
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{
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"answerText": "a",
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"answerText": "patterns and frequencies",
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"isCorrect": "false"
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},
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{
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"answerText": "b",
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"answerText": "sentiment and meaning",
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"isCorrect": "false"
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},
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{
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"answerText": "both of the above",
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"isCorrect": "true"
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},
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{
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"answerText": "c",
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"isCorrect": "false"
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}
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]
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},
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{
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"questionText": "q2",
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"questionText": "What is sentiment analysis?",
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"answerOptions": [
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{
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"answerText": "a",
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"answerText": "a study of whether a family heirloom has sentimental value",
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"isCorrect": "false"
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},
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{
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"answerText": "a method of systematically identifying, extracting, quantifying, and studying affective states and subjective information",
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"isCorrect": "true"
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},
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{
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"answerText": "b",
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"answerText": "the ability to tell whether someone is sad or happy",
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"isCorrect": "false"
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}
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]
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},
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},
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{
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"questionText": "q3",
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"questionText": "What question could be answered using a dataset of hotel reviews, Python, and sentiment analysis?",
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"answerOptions": [
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{
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"answerText": "a",
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"isCorrect": "false"
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},
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{
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"answerText": "b",
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"answerText": "What are the most frequently used words and phrases in reviews?",
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"isCorrect": "true"
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},
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{
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"answerText": "c",
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"answerText": "Which resort has the best pool?",
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"isCorrect": "false"
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},
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{
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"answerText": "Is there valet parking at this hotel?",
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"isCorrect": "false"
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}
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]
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@ -2094,48 +2098,48 @@
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"title": "NLP 4: Post-Lecture Quiz",
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"quiz": [
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{
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"questionText": "q1",
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"questionText": "What is the essence of NLP?",
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"answerOptions": [
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{
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"answerText": "a",
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"answerText": "categorizing human language into happy or sad",
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"isCorrect": "false"
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},
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{
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"answerText": "b",
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"answerText": "interpreting meaning or sentiment without having to have a human do it",
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"isCorrect": "true"
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},
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{
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"answerText": "c",
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"answerText": "finding outliers in sentiment and examining them",
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"isCorrect": "false"
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}
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]
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},
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{
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"questionText": "q2",
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"questionText": "What are some things you might look for while cleaning data?",
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"answerOptions": [
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{
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"answerText": "a",
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"isCorrect": "true"
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"answerText": "characters in other languages",
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"isCorrect": "false"
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},
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{
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"answerText": "b",
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"answerText": "blank rows or columns",
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"isCorrect": "false"
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},
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{
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"answerText": "both of the above",
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"isCorrect": "true"
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}
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]
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},
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{
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"questionText": "q3",
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"questionText": "It is important to understand your data and its foibles before performing operations on it.",
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"answerOptions": [
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{
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"answerText": "a",
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"isCorrect": "false"
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},
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{
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"answerText": "b",
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"answerText": "true",
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"isCorrect": "true"
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},
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{
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"answerText": "c",
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"answerText": "false",
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"isCorrect": "false"
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}
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]
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