1: Performance Comparisons You are asked to use three approaches taught in Lab 2 to perform sentiment analysis on the dataset: 1) Using Bing Liu's Lexicon; 2) Using LM dictionary; 2) Using TextBlob; and 3) Using Vader (either from NLTK or from Vader directly). Please report the following: 1) Report Precision, Recall and F measure achieved by each tool. Notice that you will calculate them by comparing your prediction and the gold standard (label 0 and 1). Please present the result in a comparison table and highlight the highest performance. (Hint, you should report precision not accuracy. This means you need to calculate positive precision, negative precision and then average precision)