Part $1-$ Example to try

Download the yt$3.$csv file I provided and save it on your computer

Download the R code file SentimentAnalysisYoutube.r and save it on your file

Run the R script and when it says choose the file, choose the yt$3.$csv file you saved and continue running the program. Provide screen shots for all the output you get including the bar chart. This is a sample to show you how to use the youtube comments saved as a csv file and perform the same type of sentiment analysis you did on Twitter data.

$5$ points

Part $2$

$1.$ In this project you will use one topic of your choice and collect data from Youtube, use the same topic for both sources. Use one of the csv files I posted for the twitter data, then use the same topic and collect youtube data. So you should have $2$csv files on the same topic, one from Twitter and one from Youtube, so something like

electricVehilcesTwitter.csv $($from the files I posted, the name of the file may not be exact but all the files I posted are for Twitter so you can choose any of them$)$

electricVehilcesYoutube.csv

$(5$ points$)$

$2.$ Now perform sentiment analysis for the Twitter cvs file and save the out put as a screen shot $(4$ points$)$

$3.$ Perform sentiment analysis for Youtube csv file and note its sentiment analysis and save the output as a screen shot $(4$ points$)$

$4.$ Look at both the graphs and sentiment tables and list your findings. If there are differences list your opinions on why you think the results are different or similar. I am looking for your insights into the data, not just giving me screen shots of results. You should analyze and interpret your findings. This is what a data scientist must do$,$ so give it your best try. $(7$ points$)$

Part $3$

Use any of the files I provided and complete a word cloud program on this data set

$5$ points