Let's first load in the data containing all the sentiments. Read vader_lexicon. txt into a DataFrame called sent. The index of the DataFrame should be the words in the lexicon. sent should have one column named polarity, storing the polarity of each word. Hint: The pd. read_csv function may help here. Since the file is tab-separated, be sure to set sep.

Use a physical stopwatch to record the length of time it takes to run the program. calculate the difference obtained by calls to the method system.currenttimemillis() just before the start of the algorithm and just after the end of the algorithm. calculate the difference obtained by calls to the method system.currenttimemillis() at the start of the program and at the end of the program so that the elapsed time includes the display of the result. use the value returned by the method system.currenttimemillis() just after the end of the algorithm as the elapsed time.