“If we really wanted to keep our thoughts private, we wouldn't write anything down. So do people who keep diaries secretly hope someone will read them?”

— “Do People Who Keep Diaries Secretly Hope Someone Will Read Them?” The Guardian, 28 Jan. 2001

• How do you catalogue emotions?
• How do you remember moods?
• How do you look back at a period of time?
• How do you share thoughts and emotions online?

A picture is worth a thousand words.

For the first iteration of the web application, a sentiment analysis and a categorization machine learning model are used.

Output samples based on current rule set (much of these artworks' generative code is from opensource projects.)

Wireframes and site architecture (new)

• The user has a choice to save or discard the text input for every entry.
• Visibility of non-graphical information that the “Mood Log” displays (ie., creation date, title) is customizable.
• Social features are under consideration.

First iteration of mood log without text.

Current look: functions beyond core features are front-end only.

Next steps

• Analyse visual aspects' impact on mood
• Improve and customize visualizations
• More detailed text analysis and generative art rule set
• Develop supporting features: display options, Discover, Question of the day, Mood Digest...
• Web app deploy