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Updated 3 months ago

Text classification?

Hi!

I have a list of topics, e.g: [expenses, profit, risks] etc.

I have a big pdf (around 500 pages).

I want to classify each page in that pdf; e.g.:

page-1: [expenses, risks]
page-2: [profit]
page-3: []

etc.

Is it possible to acheve with Llamaindex?

7 comments

ppikachu8887867

@Logan M is there anything in Llamaindex to help me with this?

LLogan M

Eh, unless you wanted the LLM to classify each page (slow af), but could work

I might also look into using something like Gliner to do zero shot classification

ppikachu8887867

Thanks! Never heard of gliner before. Will give it a shot.

So you define entities yourself, right?

LLogan M

Yea, basically you define the entities/labels, and it pulls them out

Actually on second though, gliner is more for token classification, rather than text classification (I think)

LLogan M

So might not work, unless they have an example of text classification

ppikachu8887867

@Logan M True. I was thinking to map each page to labels, If gliner finds any label in a page 🙂

AAshwinMS

Not sure if some smart summrize+vectorizing and doing a similarity_search k_means=3 can pull this off 🙈

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