Day 74 – Detail Sentence Analyzer Using spaCy Natural Language Processing – Part II

We have seen the below posts on spaCy in our previous blogs.

In this blog, we will check the same paragraph with detail of each word, whether it is a noun, adjective, verb, punctuation, subject, etc.

I am using Google Colab for this detail sentence analyzer to check, and you can find a link here.

Image Source: spaCY

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spaCY is an open-source library for Natural Language Processing that can be used on dependency parsing, sentence segmentation, text classification, etc. It is one of the leading Industrial-Strength Natural Language Processing. We can integrate with the machine learning framework and build custom components quickly.

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Verbs, Nouns, Punctuations etc:

spaCY NOUN nsubj
is AUX ROOT
an DET det
open ADJ amod
- PUNCT punct
source NOUN compound
library NOUN attr
for ADP prep
Natural PROPN compound
Language PROPN compound
Processing PROPN pobj
that DET nsubjpass
can AUX aux
be AUX auxpass
used VERB relcl
on ADP prep
dependency NOUN compound
parsing NOUN pobj
, PUNCT punct
sentence NOUN compound
segmentation NOUN conj
, PUNCT punct
text NOUN compound
classification NOUN conj
, PUNCT punct
etc X conj
. PUNCT punct
It PRON nsubj
is AUX ROOT
one NUM attr
of ADP prep
the DET det
leading VERB amod
Industrial PROPN compound
- PUNCT punct
Strength PROPN compound
Natural PROPN compound
Language PROPN compound
Processing PROPN pobj
. PUNCT punct
  SPACE ROOT
We PRON nsubj
can AUX aux
integrate VERB ROOT
with ADP prep
the DET det
machine NOUN compound
learning VERB compound
framework NOUN pobj
and CCONJ cc
build VERB conj
custom NOUN compound
components NOUN dobj
quickly ADV advmod
. PUNCT punct
By |2021-07-06T18:09:43+00:00July 1st, 2021|Artificial Intelligence, Machine Learning|0 Comments

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