Are there NLP algorithms dealing with detecting the repeating patterns in a a list of texts from which a topic keywords and other associative keywords can be derived?
I will show it as an example: You have a search query "vegan food for something health" (where something is a part of body you need an advice about).
The search engine will return a list of articles.
The algorithm will search for patterns in these articles. E.g. it notices that 80 % of them have a paragraph with at least 4 multiple instances of a word orange, similarly carrot, apples, cucumbers.
So it will give you an outline (textual mindmap)
- carrot --> vitamin A
- banana --> vitamin B
- run a lot
Once I watched a video about semantic web on youtube and know that Tim Berners-Lee talked about something similar, but I have lost the link. Could you keyword me to that direction again?