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What do you love about your community word clouds #12

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@jridener

OpenSMC has a Google Form asking County residents what they love about where they live and what could be improved about their communities: [(http://goo.gl/forms/mkXlEjxHhJ)]

The task is to take the responses: [(https://docs.google.com/spreadsheets/d/1XdUI2AyVjmd20q8AZlDdrct2d5TfyS3hYai0a6dHaZU/edit?usp=sharing)] and create one word cloud for the positive responses and one word cloud for the negative responses.

If you have problems accessing the form results from the link, please contact John at jridener@opensmc.org or @jridener on slack.

Next, create a page on the OpenSMC site where the two word clouds can be displayed. Include the form and a link to see the results.

Activity

  1. verythorough commented on Mar 30, 2016

    @verythorough
    Contributor
  2. nguyenvyc commented on Mar 30, 2016

    @nguyenvyc

    Here are the two word clouds, one for positive and the other for negative. Should I take out some words?
    wordcloud negative
    wordcloud love

  3. verythorough commented on Mar 30, 2016

    @verythorough
    Contributor

    @nguyenvyc, as I look closer, I see what you mean. Yes, I agree that it makes sense to remove some words. For example, city names (especially partial names) don't really make sense, and and functional words like still, near, since, and etc (literally!) don't really add any meaning.

    I wonder if it makes sense to reduce each entry to specific key words, for example "People are willing to get involved" => "people" and "involved." If there are phrases that make more sense when paired, like "small town" or "public transportation," it's possible to have the tool treat phrasees as single word by checking the "one word per line" box, and then putting each term (either word or phrase) on a separate line. Kind of a hassle, though.

  4. jridener commented on May 5, 2016

    @jridener
    ContributorAuthor

    Here's a word cloud with positive results through row 155 from this Google Sheet: https://docs.google.com/spreadsheets/d/1XdUI2AyVjmd20q8AZlDdrct2d5TfyS3hYai0a6dHaZU/edit?usp=sharing

    I heavily edited the words according to @verythorough 's suggestion from 3/30/16. I limited to one word per line to capture multiword ideas like 'San Mateo'.

    wdylawyl_positive_word_cloud_row_155_20160505.zip

  5. verythorough commented on May 6, 2016

    @verythorough
    Contributor

    Nice! I wonder if we should make a blog post about this? Could write about (and link) the survey, describe how it was distributed, make a few comments about patterns found and show the word clouds to illustrate. Any volunteers?

  6. jridener commented on May 6, 2016

    @jridener
    ContributorAuthor

    Here's a word cloud with negative results through row 155 from this Google Sheet: https://docs.google.com/spreadsheets/d/1XdUI2AyVjmd20q8AZlDdrct2d5TfyS3hYai0a6dHaZU/edit?usp=sharing

    The words are heavily edited to match the positive word cloud. I limited to one word per line to capture multi
    wdylawyl_negative_word_clous_row_155_20160506.zip
    word ideas like 'San Mateo'.

  7. jridener commented on May 6, 2016

    @jridener
    ContributorAuthor

    I'll volunteer write a blog post about this unless someone else wants to: co-authors?

  8. verythorough commented on May 6, 2016

    @verythorough
    Contributor

    Funny (and not really surprising) how there's overlap between the positive and negative. I wonder if we should include city names? Seems a little unfair (and probably inaccurate) to imply, for example, that lots of people like San Carlos, and lots of people dislike Burlingame.

  9. jridener commented on May 6, 2016

    @jridener
    ContributorAuthor

    Yeah, people are both the best and worst thing about everything, it seems. I was on the fence about including city names but thought it was worth seeing how it worked out. I can take them out and recreate the word clouds.

  10. verythorough commented on May 6, 2016

    @verythorough
    Contributor

    It was your survey, so do what you like! Just an observation on my part.

  11. jridener commented on May 6, 2016

    @jridener
    ContributorAuthor

    I think it's a good point, though. We're already trying to collect where people live in another question. Including whatever locations people mention is an uneven attribution of those issues (or positive mentions) to a place.

  12. jridener commented on May 9, 2016

    @jridener
    ContributorAuthor

    Negative comments text file through response 155
    Negative comments from what do you love about where you live.txt

  13. jridener commented on May 9, 2016

    @jridener
    ContributorAuthor

    Positive comments text file through response 155
    Positive comments from what do you love about where you live.txt

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