Event JSON
{
"id": "b19c7405fb9bae9ce2906c8a7aaa1b32a7625387676496b25c6e6d7041976bd7",
"pubkey": "bbadbfdc4486f785605a5891daec7603a8f3abb83f7e0d1699275d31c955cbaa",
"created_at": 1689231133,
"kind": 1,
"tags": [
[
"p",
"2c3cd5c6a0b5d65419b881d0503ba194b6be57df81a8db0f0d1a3881b03e48b3",
"wss://relay.mostr.pub"
],
[
"p",
"eaa914762da2901397d93fd82d39cc55f39208cba55bb51c5b92072cf3ed6e83",
"wss://relay.mostr.pub"
],
[
"e",
"492b5b8c380801f8b24424f7f4dc54da1232ed806cd48fc63d92241094ea0c63",
"wss://relay.mostr.pub",
"reply"
],
[
"mostr",
"https://mstdn.social/users/felwert/statuses/110705451537389427"
]
],
"content": "nostr:npub19s7dt34qkht9gxdcs8g9qwapjjmtu47lsx5dkrcdrgugrvp7fzesr3gw8p We just went through that as well. What a waste. I started with a list of TF-IDF keywords for each article, to get a sense of which words might even be relevant, and then let a student assistant note down the page numbers. 😴",
"sig": "f7356dcffb1b798e7fff02340686ffb4f61da43e77221561b14aef17ae32df81c7aa586d535bc783bc8dd3f44ced8dc4cf5bc89d5e3d69432452f2b78e1a44e5"
}
