What question did this study set out to answer?

To establish an interpretable, context-dependent framework for semantic analysis in web-scale document corpora using explicit directional semantic projections rather than latent embedding spaces.

August 19, 2026InformationOpen Access

From Word Embeddings to Semantic Projections: Interpretability and Context in Web-Scale Semantic Analysis

View Full Paper

Ask AI

Bookmark

Authors

MBMabel López BordaoUniversitat Politècnica de València AFAntonia Ferrer-SapenaUniversitat Politècnica de València PNPablo Lara NavarraUniversitat Oberta de Catalunya

Discussion

Member takes

Implication

Comparative analysis demonstrates that semantic projections capture context-dependent meaning across web and scientific corpora, highlighting an interpretable alternative to latent word embeddings.

Key Points

To establish an interpretable, context-dependent framework for semantic analysis in web-scale document corpora using explicit directional semantic projections rather than latent embedding spaces.
Formulated a conceptual framework linking distributional semantics, co-occurrence analysis, and fuzzy set theory to derive association metrics such as pointwise mutual information from conditional semantic projections.
Conducted a comparative empirical analysis tracking semantic associations for the term ChatGPT across general web-scale datasets and specialized scientific document repositories.
Semantic projections successfully identified persistent contextual relationships while adapting dynamically to community-specific discourse across general web text and scientific literature.
The directional count-based projection framework achieved transparent semantic interpretability without relying on opaque, high-dimensional latent geometric relations.

Cite This Study

Bordao et al. (2026) studied this question.

synapsesocial.com/papers/6a8563ae03308d306e2d709d https://doi.org/10.3390/info17080787

View Full Paper

Ask AI

Bookmark

Implication

Comparative analysis demonstrates that semantic projections capture context-dependent meaning across web and scientific corpora, highlighting an interpretable alternative to latent word embeddings.

From Word Embeddings to Semantic Projections: Interpretability and Context in Web-Scale Semantic Analysis

Discussion

Member takes

Implication

Key Points

Cite This Study

From Word Embeddings to Semantic Projections: Interpretability and Context in Web-Scale Semantic Analysis

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider