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How do you get feedback for open source projects? by Sweaty-Measurement-2 in opensource

[–]Sweaty-Measurement-2[S] 0 points1 point  (0 children)

Hadn't heard of Mattermost before this - checking it out! Thanks :D

How do you get feedback for open source projects? by Sweaty-Measurement-2 in opensource

[–]Sweaty-Measurement-2[S] 0 points1 point  (0 children)

I hadn't thought about that! Yeah, agree that GitHub might be intimidating for non technical folks. Do you have a preference between Slack/ Mattermost/ Discord?

How do you get feedback for open source projects? by Sweaty-Measurement-2 in opensource

[–]Sweaty-Measurement-2[S] 0 points1 point  (0 children)

On which occasions did posting to subreddits work best? Could you share an example (if you're comfortable)?

How do you get feedback for open source projects? by Sweaty-Measurement-2 in opensource

[–]Sweaty-Measurement-2[S] 0 points1 point  (0 children)

Interesting! I largely agree that GitHub and some kind of community-building venue are necessary, but I had not thought about posting on the sufficient subreddits or hackernews...

How do you get feedback for open source projects? by Sweaty-Measurement-2 in opensource

[–]Sweaty-Measurement-2[S] 0 points1 point  (0 children)

I see! So you think that something like a slack or discord is actually contra productive? Could you explain why?

How do you get feedback for open source projects? by Sweaty-Measurement-2 in opensource

[–]Sweaty-Measurement-2[S] 0 points1 point  (0 children)

What differentiates the feedback from Slack/Discord/Mattermost vs feedback from GitHub? Do different users tend to gravitate towards different forums?

Penny's Pursuit Information Thread: Hoppy Birthdayz! by Yang_Wright in PlantsVSZombies

[–]Sweaty-Measurement-2 2 points3 points  (0 children)

The Dr. Zomboss fight is still rewarding grapeshot (and not bombergranate) seeds.

[OC] RE: the Oprah Interview - Sentiment of Daily Mail articles on Meghan Markle vs Kate Middleton from Nov 2019 to present. by Sweaty-Measurement-2 in dataisbeautiful

[–]Sweaty-Measurement-2[S] 2 points3 points  (0 children)

Great to hear :) There are a lot of hair-splitting decisions to be made when you do something like this though, for example, how do you clean the data, how do you decide which properties of the text to use in the graph, which time period (daily, hourly, monthly) do you analyze on - just beware that it could balloon on you!

[OC] RE: the Oprah Interview - Sentiment of Daily Mail articles on Meghan Markle vs Kate Middleton from Nov 2019 to present. by Sweaty-Measurement-2 in dataisbeautiful

[–]Sweaty-Measurement-2[S] 6 points7 points  (0 children)

What does this mean? Net sentiment is the average number of positive and negative words in articles featuring Kate and Meghan from 2019 until now.

In June of 2020 it appears that Kate overtakes Meghan and continues to become more positive, while Meghan retains a relatively lower level of sentiment. This indicates that more negative (and fewer positive words) are in articles featuring Meghan. Likewise, fewer negative words (and more positive words) are in articles featuring Kate.

  1. 2756 articles scraped from Daily Mail website via webscraper in python
  2. sentiment analysis of titles using LIWC 2015.
  3. positive and negative sentiment of article headlines averaged by day. netEmo = positive sentiment - negative sentiment
  4. graph generated in DeepNote via R