Difference between revisions of "Journaling and note-taking"
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When you want to write down thoughts instead of data. Main tool for [[Lifelogging]]. A type of [[Manual input]]. | When you want to write down thoughts instead of data. Main tool for [[Lifelogging]]. A type of [[Manual input]]. | ||
− | While journaling can be useful to put data into context, it is hard to quantify. | + | == How to quantify written text == |
+ | While journaling can be useful to put data into context, it is hard to quantify.<ref>https://cran.r-project.org/web/views/NaturalLanguageProcessing.html</ref> | ||
+ | |||
+ | One option is to summarize each entry with a few keywords. Writer could identify such keywords with hashes making hash tags. Keywords could be automatically determined algorithmically by building an index of all words used and removing the ones too common in language<ref>https://cran.r-project.org/web/packages/wordnet/index.html</ref>.<ref>https://cran.r-project.org/web/packages/corpus/vignettes/corpus.html</ref> | ||
+ | |||
+ | Second is to automatically determine user's [[Mood]] using sentiment analysis.<ref>https://en.wikipedia.org/wiki/Sentiment_analysis</ref><ref>https://cran.r-project.org/web/packages/SentimentAnalysis/index.html</ref> | ||
== Tools == | == Tools == | ||
+ | Many show and tell investigators prefer pen and paper. Paper text can be converted to electronic using OCR.<ref>https://en.wikipedia.org/wiki/Optical_character_recognition</ref> | ||
+ | |||
Notepads and the like. Rather hard to beat being ale to type on a full keyboard. Notepad++. Easily handles hundreds of thousands of lines. Setting up time stamps requires some work. | Notepads and the like. Rather hard to beat being ale to type on a full keyboard. Notepad++. Easily handles hundreds of thousands of lines. Setting up time stamps requires some work. | ||
Revision as of 20:54, 17 March 2022
Tool Infobox | |
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Linked pages on this wiki |
Projects (33), |
When you want to write down thoughts instead of data. Main tool for Lifelogging. A type of Manual input.
How to quantify written text
While journaling can be useful to put data into context, it is hard to quantify.[1]
One option is to summarize each entry with a few keywords. Writer could identify such keywords with hashes making hash tags. Keywords could be automatically determined algorithmically by building an index of all words used and removing the ones too common in language[2].[3]
Second is to automatically determine user's Mood using sentiment analysis.[4][5]
Tools
Many show and tell investigators prefer pen and paper. Paper text can be converted to electronic using OCR.[6]
Notepads and the like. Rather hard to beat being ale to type on a full keyboard. Notepad++. Easily handles hundreds of thousands of lines. Setting up time stamps requires some work.
On a smart phone similar tools exist. I use Mysymptom's built in notes field instead of a proper notepad. DG (talk)
Apps specifically designed for this:
- dayoneapp.com
- logg[7]
Linked content on this wiki
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We talked about this tool in the following meetings |
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2022-02-03 Self-Research Chat |
- ↑ https://cran.r-project.org/web/views/NaturalLanguageProcessing.html
- ↑ https://cran.r-project.org/web/packages/wordnet/index.html
- ↑ https://cran.r-project.org/web/packages/corpus/vignettes/corpus.html
- ↑ https://en.wikipedia.org/wiki/Sentiment_analysis
- ↑ https://cran.r-project.org/web/packages/SentimentAnalysis/index.html
- ↑ https://en.wikipedia.org/wiki/Optical_character_recognition
- ↑ https://play.google.com/store/apps/details?id=com.digieggs.deathstar.logg