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   Articles with "latent semantic" as a keyword



Basic Co-Occurrence Latent Semantic Vector Space Model

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recommendations! Published in 2019 at "Journal of Classification"

DOI: 10.1007/s00357-018-9283-9

Abstract: The vector representation is one of the important parts in document clustering or classification, which can quantify the text. In this paper, a novel Cooccurrence Latent Semantic Vector Space Model (CLSVSM) is presented and the… read more here.

Keywords: latent semantic; model; occurrence; vector space ... See more keywords

Latent Semantic Scaling: A Semisupervised Text Analysis Technique for New Domains and Languages

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recommendations! Published in 2020 at "Communication Methods and Measures"

DOI: 10.1080/19312458.2020.1832976

Abstract: ABSTRACT Many social scientists recognize that quantitative text analysis is a useful research methodology, but its application is still concentrated in documents written in European languages, especially English, and few sub-fields of political science, such… read more here.

Keywords: seed; analysis; latent semantic; domains languages ... See more keywords

Latent Semantic Consensus for Deterministic Geometric Model Fitting

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recommendations! Published in 2024 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2024.3376731

Abstract: Estimating reliable geometric model parameters from the data with severe outliers is a fundamental and important task in computer vision. This paper attempts to sample high-quality subsets and select model instances to estimate parameters in… read more here.

Keywords: geometric model; semantic consensus; latent semantic; model fitting ... See more keywords
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Topic Modeling: Latent Semantic Analysis for the Social Sciences*

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recommendations! Published in 2018 at "Social Science Quarterly"

DOI: 10.1111/ssqu.12528

Abstract: Objective Topic modeling (TM) refers to a group of methods for mathematically identifying latent topics in large corpora of data. Although TM shows promise as a tool for social science research, most researchers lack awareness… read more here.

Keywords: semantic analysis; modeling latent; latent semantic; topic modeling ... See more keywords

Design of Knowledge Graph Retrieval System for Legal and Regulatory Framework of Multilevel Latent Semantic Indexing

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recommendations! Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/6781043

Abstract: Latent semantic analysis (LSA) is a natural language statistical model, which is considered as a method to acquire, generalize, and represent knowledge. Compared with other retrieval models based on concept dictionaries or concept networks, the… read more here.

Keywords: system; latent semantic; knowledge graph; retrieval ... See more keywords