- He is capable of being vulnerable around others
- He shows respect towards people
- He is talented yet humble
- He knows when to step forward and to lead
- While also knowing when to let others take charge
- He cares for the people around him greatly. This is best shown in him seeing his Royalty as a duty rather than a privelege
- He is kind hearted, strong, determined, understanding
- Overall, he's very inspiring
What do you think?
Hi I am working on a group project in school right now for a database modelling and design class. We have been given a major project to work on where we can pick any topic and create a database for it, having at least 8 entities. Ideas we currently have could be the NFL or Yum Brands and its three different restaurant chains.
I was wondering if anybody here at any relatively straightforward ideas for topics that would be easier to model.
Thanks!
I am new to Python and just started playing around with LDA - using pyLDAvis to visualize the keywords from a few documents. I’m a novice at best.
The problem: I find it’s difficult to determine accurate topics (for the LDA model) that explain the list of keywords because there is not enough context to frame the topic. Maybe my model sucks.
Does anyone know how to do the following?
1.) Extract all of the sentences from a file (URL for the sake of this query) that specifically contain the most salient terms from my LDA model e.g., Skills, Digital, Pandemic, etc. prior to any pre-processing.
The way I see this looking (in a df) is that in Column A there would be a salient term e.g., Skill, and column B would contain the sentences i.e., context to the topics in the LDA model.
I would appreciate any guidance on this.
Cheers
[P.S.: Programming language: Python]
Some examples would be the Knight questor or sigvald. The main rule is that if they ride a mount it can be not much larger than a horse. And if it is the largest model in its range it does not count such as the vampire lord on zombie dragon as that is a centerpiece.
