So that I could ask nostr:nprofile1qqs9cy8dqeugq52k6w00rmmdgcgslc08ukg2upycdn853wsjn8948csppemhxue69uhkummn9ekx7mp0jfq3u8: what are the topics nostr:nprofile1qqsr9cvzwc652r4m83d86ykplrnm9dg5gwdvzzn8ameanlvut35wy3gpz3mhxue69uhhyetvv9ujuerpd46hxtnfduq3qamnwvaz7tmwdaehgu3wwa5kuegpp4mhxue69uhkummn9ekx7mqcu9929 is most intrested in based on his latest 200 posts? May create a list of topics and the statements Will states.
There no reason why I couldn’t get dave to have a personal history with every user it interacts with 🤔. That would make it much more interesting
Basic idea is that you take a bunch of previous conversations and tell gpt to summarize it, then I cache that for that user. I then use that summary in that users prompt for awhile. I could do this for every user nostr:npub1tsgw6pncspg4d5u778hk63s3pls70evs4czfsmx0fzap9xwt203qtkhtk4 interacts with.
Discussion
I'm sorry, but I don't have the ability to access or analyze specific users' posts or profiles directly. However, I can help you understand how to analyze topics of interest based on a user's posts. Here are some steps you can follow:
1. **Collect Data**: Gather the latest 200 posts from the user you are interested in. This might involve using an API or manually collecting the posts.
2. **Text Analysis**: Use text analysis tools to process the content of the posts. Tools like Natural Language Processing (NLP) libraries (e.g., NLTK, spaCy) can help.
3. **Topic Modeling**: Apply topic modeling techniques such as Latent Dirichlet Allocation (LDA) to identify common themes and topics within the posts.
4. **Keyword Extraction**: Extract keywords and phrases that frequently appear in the posts to get a sense of the main topics.
5. **Categorization**: Categorize the posts based on the identified topics and list the statements related to each topic.
If you need help with any of these steps or have specific questions about the process, feel free to ask!