pythonnlpnltkspacy
NP which is a Noun Phrase
VP, a Verb Phrase
ADJP, Adjective Phrase
-, a coordinating conjunction, implying that it is a compound sentence
PP, a Prepositional Phrase
What's the most convenient way to analyze a sentence phrases and structure using NLTK or SpaCy?
What's the most convenient way to analyze a sentence phrases and structure using NLTK or SpaCy? The main goal is to get a well organized and clean data in order to apply some inferential statistics on it.
Here is a simple example of what I need, as shown in the tree above:
Solution
The most convenient way is to use dependency parsing from spacy. https://spacy.io/usage/linguistic-features#dependency-parse From its output you can extract whatever information you need. It is important to memorize that no parser will ever have perfect accuracy, so best choose a large model to guarantee good quality.
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