The Problem

I would like to develop a platform which people will write text and upload images. I am going to use Google API to classify the text and extract from the image all kind of meta data.

In the end I am going to have a lot of text which describe the content(text and images)

Later I would like to show my users related posts. Related means that from the content point of view it is similar. The text and the images

What I need

I was wandering what is the best way to do it. I am not AI expert and the best approach from my prescriptive it to have some tool like google API or Apache Lucene search engine which can hide the details of how this is done.


Google has introduced Universal Sentence Encoder, that convert sentences into vector representations while preserving the semantic details. The pre-trained models are available on Tensorflow Hub. The Colab notebook would help you get started as well.

  • $\begingroup$ thanks, I will look into it. $\endgroup$ – Nehemia Litterat Sep 19 at 14:09

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