openNLP vs Spacy for Contentserver

Let's compare this two packages for NLP, openNLP vs SPACY.

Remark: The tables are screenshots.

The Python environment can be the free anacoda or similar

Here you can find the link to Named Entities, Word Vectors and Visualizers here.

For those interested in the Python-Javascript Bridge, the link is here

A few additional differences:

Application Architecture

openNLP can be used from inside the buildin Java machine from the Content Server or as a secondary client on a different machine, last architecture is recommended due to performance.

SPACY as any other Python package wont work with Opentexts Content Server due to the special implementation of REST.

In one of the next articles, I will focus on the REST parts from Python, which will work with Content Server and whioch will not.

There are this possibilities:

• Impement all all connectivity parts in JAVA as REST client.
• Impement all all connectivity parts in Javascript as REST client using the jspybridge and connect directly to Python.

LLM (Large Language Model) Interface

openNLP has none as LLM, standard NLP tasks such as?Named Entity Recognition?and?Text Classification are to be implemented locally based n openNLP.

SPACY has Hugging Face, OpenAI API, including GPT-4 and various GPT-3 models (Usage examples for standard NLP tasks such as?Named Entity Recognition?and?Text Classification)

It depends on your intended usage