diff --git a/6-NLP/4-Hotel-Reviews-1/README.md b/6-NLP/4-Hotel-Reviews-1/README.md index 78b9cce7..b789afa6 100644 --- a/6-NLP/4-Hotel-Reviews-1/README.md +++ b/6-NLP/4-Hotel-Reviews-1/README.md @@ -391,7 +391,7 @@ Now that you have explored the dataset, in the next lesson you will filter the d 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. -## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/38/) +## [Post-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/38/) ## Review & Self Study diff --git a/quiz-app/src/assets/translations/en.json b/quiz-app/src/assets/translations/en.json index d0acc6ff..de600069 100644 --- a/quiz-app/src/assets/translations/en.json +++ b/quiz-app/src/assets/translations/en.json @@ -2041,48 +2041,52 @@ "title": "NLP 4: Pre-Lecture Quiz", "quiz": [ { - "questionText": "q1", + "questionText": "What information can we get from text that was written or spoken by a human?", "answerOptions": [ { - "answerText": "a", + "answerText": "patterns and frequencies", "isCorrect": "false" }, { - "answerText": "b", - "isCorrect": "true" + "answerText": "sentiment and meaning", + "isCorrect": "false" }, { - "answerText": "c", - "isCorrect": "false" + "answerText": "both of the above", + "isCorrect": "true" } ] }, { - "questionText": "q2", + "questionText": "What is sentiment analysis?", "answerOptions": [ { - "answerText": "a", + "answerText": "a study of whether a family heirloom has sentimental value", + "isCorrect": "false" + }, + { + "answerText": "a method of systematically identifying, extracting, quantifying, and studying affective states and subjective information", "isCorrect": "true" }, { - "answerText": "b", + "answerText": "the ability to tell whether someone is sad or happy", "isCorrect": "false" } ] - }, + }, { - "questionText": "q3", + "questionText": "What question could be answered using a dataset of hotel reviews, Python, and sentiment analysis?", "answerOptions": [ { - "answerText": "a", - "isCorrect": "false" + "answerText": "What are the most frequently used words and phrases in reviews?", + "isCorrect": "true" }, { - "answerText": "b", - "isCorrect": "true" + "answerText": "Which resort has the best pool?", + "isCorrect": "false" }, { - "answerText": "c", + "answerText": "Is there valet parking at this hotel?", "isCorrect": "false" } ] @@ -2094,48 +2098,48 @@ "title": "NLP 4: Post-Lecture Quiz", "quiz": [ { - "questionText": "q1", + "questionText": "What is the essence of NLP?", "answerOptions": [ { - "answerText": "a", + "answerText": "categorizing human language into happy or sad", "isCorrect": "false" }, { - "answerText": "b", + "answerText": "interpreting meaning or sentiment without having to have a human do it", "isCorrect": "true" }, { - "answerText": "c", + "answerText": "finding outliers in sentiment and examining them", "isCorrect": "false" } ] }, { - "questionText": "q2", + "questionText": "What are some things you might look for while cleaning data?", "answerOptions": [ { - "answerText": "a", - "isCorrect": "true" + "answerText": "characters in other languages", + "isCorrect": "false" }, { - "answerText": "b", + "answerText": "blank rows or columns", "isCorrect": "false" + }, + { + "answerText": "both of the above", + "isCorrect": "true" } ] }, { - "questionText": "q3", + "questionText": "It is important to understand your data and its foibles before performing operations on it.", "answerOptions": [ { - "answerText": "a", - "isCorrect": "false" - }, - { - "answerText": "b", + "answerText": "true", "isCorrect": "true" }, { - "answerText": "c", + "answerText": "false", "isCorrect": "false" } ]