Recap Tues, March 31

Before going forward, check to see if you have received a survey link from me via e-mail. If so, please complete the survey. If not, let me know and I will resend the link.

Today, we had a conversation about our reading. If you have yet to do so, read the piece and post your response.

You can also review the transcript of our discussion.

For homework, complete your Pinterest searching assignment from today's class. You will want to watch the video showing our discussion of the assignment. I have also recorded the step-by-step process for conducting and downloading the data searches:

 

I am also going to repost the instructions and links to the scraping platform below. Just locate your link and during your window conduct the five searches, downloading the various items as you work. You can also take screenshots or record any of your process with Snagit.

Here are the instructions:

First, make sure that you have an account on Pinterest. If you already have a Pinterest account, you can just use your normal account and login. If you need to create an account, go ahead as you normally would create a social media account.  And be sure to have ready three pieces of information: 1) the e-mail associated with your account, 2) the username for the account, and 3) your password.

Next, use the Pinterest scraping platform to conduct five searches. For the searches, we will all use common terms so that we can compare results:

  • Search 1: a color (e.g., red, green, blue, etc.)
  • Search 2: a place (e.g., France, Las Vegas, beach, park, etc.)
  • Search 3: a specific term relevant to current moment: "homeschool."
  • Search 4: a specific term: "family vacation."
  • Search 5: an item of clothing (e.g., shoes, jacket, boots, etc.)

For each of these searches, you will use the platform to complete a series of tasks:

  1. Login (remember the credentials must be exact and match your Pinterest details)
  2. Download My Info (this will save your Pinterest ID data)
  3. Conduct the search (be patient while images load); explore by rolling over some of the images. Use Snagit to capture some of the initial details as video footage.
  4. Download Images to Server (This will allow you to move on to the analysis page.)
  5. Go to the Analysis Page (This will take you to a new page where you can analyze)
  6. Select the Search to Analyze; then Download this Folder to Your Local PC (this will save the image results)
  7. Peek in the Folder (this will let you see the images)
  8. Analyze This Folder (This will let you see word clouds and other information.)
  9. Download the Analysis Results to Your Local PC (this will let you save the word clouds and other results)

Again, from time to time take screen captures of your results and analysis. 

When you have completed this process for one search term, move on the the others.

Because we want to space out the calls to the API as we work, we will use the grid below to guide us with the timing and link to the scraping platform.

Again, from time to time take screen captures of your results and analysis. 

When you have completed this process for one search term, move on the the others.

Because we want to space out the calls to the API as we work, we will use the grid below to guide us with the timing and link to the scraping platform.

Once we all have a clear sense of the process of collecting the Pinterest images, we will disburse and you can continue to work on aspects of the class.

Name

Scraping link

Window

Eich, Danny 

http://pinterest-dept-dil.cloudapps.unc.edu

Tuesday

Gibson, Kayla

http://pinterest-dept-dil.cloudapps.unc.edu

Wednesday

Gomez, Mariana 

http://pinterest-dept-dil.cloudapps.unc.edu

Tuesday

Mcgrail, Jane

http://pinterest-dept-dil.cloudapps.unc.edu

Wednesday

Koslow, Emma 

http://pinterest-dept-dil.cloudapps.unc.edu

Tuesday

Lambert, David 

http://pinterest-dept-dil.cloudapps.unc.edu

Wednesday

Laney, Mason 

http://pinterest-dept-dil.cloudapps.unc.edu

Tuesday

Holt, Toby

http://pinterest-dept-dil.cloudapps.unc.edu

Wednesday

Morton, Alex  

http://pinterest-dept-dil.cloudapps.unc.edu

Tuesday

Perez, Natalie 

http://python-class-dept-english.cloudapps.unc.edu

Wednesday

Powers, Phoebe 

http://python-class-dept-english.cloudapps.unc.edu

Tuesday

Schnitzler, Carly  

http://python-class-dept-english.cloudapps.unc.edu

Wednesday

Sheperd, Shawna 

http://python-class-dept-english.cloudapps.unc.edu

Tuesday

Smith, Isabelle 

http://python-class-dept-english.cloudapps.unc.edu

Wednesday

Valdibia, Nataly  

http://python-class-dept-english.cloudapps.unc.edu

Tuesday

Zirkle, Sabrina 

http://python-class-dept-english.cloudapps.unc.edu

Wednesday