semantic analysis

USAGE SUMMARY

The phrase "semantic analysis" is correct and usable in written English.
You can use it to refer to the process of examining the meaning of words or phrases in order to gain a better understanding of them. For example, "My professor assigned us a project which involved doing a semantic analysis of a famous novel."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Latent Semantic Analysis (LSA) framework is used to semantically interface PubMed abstracts to the Gene Ontology.

BMC Genomics

It's the primary tool for semantic analysis.

The Guardian - Tech

Probabilistic Latent Semantic Analysis.

Harvard University

Robust Semantic Analysis of Multiword Expressions with FrameNet.

University of California, Berkeley

Optional: Read the Wikipedia page on latent semantic analysis.

University of California, Berkeley

Ricoeur P (2000) The Concept of Responsibility: An Essay in Semantic Analysis in The Just; trans.

Nature

Thereafter the theory remained the main vehicle for semantic analysis until the end of the Middle Ages.

Britannica

He said semantic analysis, another of the NSA's capabilities, would identify him by his patterns of language.

The Washington Post

Bastuji, H., Perrin, F. & Garcia-Larrea, L. Semantic analysis of auditory input during sleep: studies with event related potentials.

Nature

Harmonia runs three compiler analyses on your XEmacs buffer: lexing, parsing (syntax) and semantic analysis.

University of California, Berkeley

These include: redundant input channels, syntactic and semantic analysis, and context-sensitive interpretation.

Massachusetts Institute of Technology

Expert writing Tips

Best practice

For broader contexts, consider alternatives like "meaning analysis" or "content analysis" to better suit your audience.

Common error

Avoid using "semantic analysis" when referring to simple keyword extraction. Ensure that the process genuinely involves interpreting the meaning and relationships between words, not just identifying them.

Linguistic Context

The phrase "semantic analysis" functions primarily as a noun phrase, often serving as the subject or object of a sentence. Ludwig AI confirms its grammatical correctness, illustrating its role in describing a specific process or field of study.

Expression frequency: Very common

Frequent in

Science

36%

News & Media

27%

Academia

21%

Less common in

Encyclopedias

4%

Formal & Business

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "semantic analysis" is a grammatically correct and frequently used noun phrase that describes the process of interpreting meaning from text or data. As confirmed by Ludwig AI, it is widely accepted and utilized across various domains. Predominantly found in scientific, news, and academic contexts, "semantic analysis" serves the purpose of conveying a deep understanding of language and data, going beyond mere surface-level interpretation. While it's often used precisely in computational linguistics and NLP, be cautious of overgeneralization. If you want to explore semantically related alternatives, consider phrases such as "meaning analysis" or "content analysis". Ultimately, "semantic analysis" remains a valuable term for anyone working with language and data.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

meaning analysis

This focuses specifically on the extraction and interpretation of meaning.

interpretation of meaning

This highlights the act of understanding and explaining the significance of something.

content analysis

This is a broader term encompassing the analysis of any form of communication.

textual analysis

This emphasizes the analysis of the text itself, including its structure and style.

language analysis

This encompasses all aspects of language, including grammar, syntax, and semantics.

linguistic analysis

This is a broader term that includes phonetics, phonology, morphology, syntax, semantics and pragmatics.

discourse analysis

This focuses on the analysis of language in its social context.

sentiment analysis

This specifically focuses on identifying and extracting subjective information.

pragmatic analysis

This looks at how context contributes to meaning.

conceptual analysis

This examines the nature and structure of concepts.

FAQs

What is the purpose of "semantic analysis"?

The purpose of "semantic analysis" is to understand the meaning of text, code, or other structured data. It goes beyond simple syntax to interpret the relationships between words and concepts, enabling more sophisticated processing and understanding.

How does "semantic analysis" differ from syntactic analysis?

"Syntactic analysis" focuses on the structure and grammar of a sentence, while "semantic analysis" focuses on its meaning. Syntactic analysis checks if the sentence is well-formed according to grammatical rules, while semantic analysis checks if the sentence makes sense.

What are some techniques used in "semantic analysis"?

Techniques used in "semantic analysis" include lexical analysis, parsing, semantic role labeling, and word sense disambiguation. These techniques help to identify the meaning of individual words and their relationships within a sentence or document.

When should I use "semantic analysis" in natural language processing?

Use "semantic analysis" when you need to understand the meaning behind the text, such as in sentiment analysis, machine translation, or question answering systems. It is crucial when the context and relationships between words are important for accurate interpretation.