We just launched our courses -> Start learning today ✨

Join
Login

Syntax analysis (parsing)

NLP (Concepts & Pipeline)
Phase 2 of NLP (compiler design) that analyzes grammatical structure.

Syntax analysis, or parsing, is defined as Part 02 of the five phases of NLP compiler design. This process is crucial because semantic analysis relies on mapping the syntactic structure of the text to ensure the logical coherence of relationships between entities, words, and phrases.
Furthermore, Syntax Analysis is offered as a dedicated module by all three major NLP APIs discussed—Google Cloud Natural Language API, Amazon Comprehend, and IBM Watson NLU. The Google Cloud module specifically includes analysis of the grammatical structure of the text, identifying parts of speech, and parsing sentences. The IBM Watson NLU equivalent is termed “Semantic Roles” and involves parsing sentences into subject-action-object form to identify key semantic elements.

Related Concepts

Natural Language Processing (NLP) Semantic Analysis Lexical or morphological analysis Sentiment Analysis NLTK (Natural Language Toolkit)

Sources & References

Introduction to Machine Learning for SEOs Course
academy.mlforseo.com

Explore other NLP (Concepts & Pipeline) terms

C
Content Moderation
Automatically flags or categorizes potentially unsafe or sensitive text (e.g., explicit or hateful content), ensuring…
E
Emotion detection/analysis
A specialized NLP task that detects emotions like sadness, joy, fear, disgust, and anger.
E
Entity Extraction (NER)
A core NLP technique aimed at extraction and classification of key information (named entities) within…
E
Entity Sentiment Analysis
Combines entity analysis and sentiment analysis to determine the sentiment (positive or negative) expressed about…
L
Lexical or morphological analysis
The first part of the five phases of compiler design (NLP).
N
Natural Language Processing (NLP)
A field dealing with processing text; includes tasks like Entity Extraction/NER.
S
Semantic Analysis
Phase 3 of NLP (compiler design) aimed at understanding the meaning in a statement. Includes…
S
Sentiment Analysis
Analyzes text to identify the dominant emotional opinion (positive, negative, or neutral).
T
Topic Modeling
An unsupervised task (clustering) for identifying themes/topics from large sets of unstructured text, often applied…