Homework 4 Due Date: 3/17/18 Please answer the following questions found in the end of chapter exercises in the textbook. Please submit your paper version in class with your name. Questions: 4.32,...

regression analysis


Homework 4 Due Date: 3/17/18 Please answer the following questions found in the end of chapter exercises in the textbook. Please submit your paper version in class with your name. Questions: 4.32, 4.42, 4.58, 4.64, 4.88 (chapter 4) Homework 5 Due Date: 4/27/18 Please answer the following questions found in the end of chapter computer exercises in the textbook. DO NOT attach your code. Just answer each question base on your results. Please submit your paper version in class with your name. Questions: Chapter 6 C10, Chapter 7 C2, Chapter 8 C1, Chapter 9 C5 Homework 6 Due Date: 5/4/18 Please answer the following questions found in the end of chapter computer exercises in the textbook. DO NOT attach your code. Just answer each question base on your results. Please submit your paper version in class with your name. Questions: Chapter 10 C9, Chapter 11 C3, Chapter 12 C11 MongoDB Class 635 Final Project Using spark and mongodb Twitter Analysis for Presidential Election Download obama.csv and romney.csv from blackboard project content Use clean_twitter.csv we learnt from last class as the training set. First repeat the code you leant from last class to train TF-IDF with logistic regression model Write a code to read obama.csv and romney.csv Clean the text in obama.csv and romney.csv, i.e. strip off unnecessary characters from data Feed data into TF-IDF with logistic regression model and calculate the ratio of positive posts vs total posts for both obama and romney. Change model to 3-gram with logistic regression model. Re-calculate the result. Store these two dataframes with their sentiments value into a MongoDB.