@shahamfarooq (DEMO)
893 Tweets Analyzed
Time Range: 2018-12-14 16:07 to 2019-04-26 21:57
893 Tweets Analyzed
Time Range: 2018-12-14 16:07 to 2019-04-26 21:57
| Word 1 | Word 2 | Word 3 | Word 4 | Word 5 | Word 6 | Word 7 | Word 8 | Word 9 | Word 10 | |
|---|---|---|---|---|---|---|---|---|---|---|
| Topic 1 | art | im | way | want | wrong | duchamp | creative | going | just | list |
| Topic 2 | think | like | oh | dont | just | good | actually | look | love | thing |
| Topic 3 | lol | watch | years | thinking | public | ill | let | just | does | try |
| Topic 4 | people | feel | makes | says | having | sense | listen | human | like | bad |
| Topic 5 | new | writing | books | information | read | philosophy | ive | doing | friend | technical |
| Topic 6 | agree | make | belief | beautiful | feeling | theory | didnt | help | sure | maybe |
| Topic 7 | just | love | social | world | true | moment | end | real | anxiety | need |
| Topic 8 | said | friends | yes | work | life | really | dont | did | like | time |
| Topic 9 | man | long | stuff | interesting | favourite | day | capitalism | data | wrote |
A visual 'blueprint' of your recent tweeting behaviour.
See associated Medium Post
- Each line is a tweet
- basic structure: At the end of each line, you make a right turn and start drawing the next line
- The black box with a + inside is the oldest tweet, the empty black box is the most recent tweet
- The Length of a line is relative to how long it has been since the user last tweeted
- The colour of each line is the topic the tweet has been grouped into
- The thickness of each line is how closely related it is to its topic
- Clicking on any of the legend items will toggle their visibility on the diagram
- The search bar (type and press enter) can also be used to filter based on very basic comparison of your input with text in tweet
- Replies and non-replies buttons can toggle tweets respectively. (note: reply to self is NOT considered a 'reply')
- The circles are drawn at the start of each line indicating (relatively) popularity of tweet (based on RTs and Likes)
- Hovering over a line shows more details about the tweet
- This diagram can be panned, zoomed, and saved using its toolbar on the right
- If you have questions, comments, etc. - feel free to msg me on Twitter!
- Each row lists the top 10 most significant words in each topic in order
- The topic number in the table corresponds to the topic number in the legend of the diagram
- It does NOT mean the word only appears in that topic
- Explore: search these words in the search bar above to see where they are in the diagram
- It can take 0-3 minutes to collect tweets and complete an analysis! Patience :)
- Topic modelling has some randomness so a refresh will recalculate them and you will lose current configuration
- Only analyzes a maximum of 1,000 most recent tweets
- Filters out RTs/Likes or tweets with less than 50 characters
- The topic modelling itself is naive, lightweight, and unfiltered for scalability/speed reasons.
- Twiring comes from Twitter+Wiring (b/c they look like 'wiring' diagrams) but also, twiring is to To glance shyly or slyly so that also works
- I do not store any of your tweets.
- I only ask for read-only permissions for twitter authentication.
