Hybrid Intelligent Systems for Information Retrieval
portes grátis
Hybrid Intelligent Systems for Information Retrieval
Pawar, Ambika; Laddha, Shilpa; Thakare, Anuradha D
Taylor & Francis Ltd
11/2022
234
Dura
Inglês
9781032035680
15 a 20 dias
453
Descrição não disponível.
1. Introduction. 2. Matching Functions. 3. Information Retrieval Models. 4. Hybrid Swarm Intelligence Approaches for Optimal Information Retrieval. 5. Information Retrieval and Semantic Search. 6. Ontology Creation using Clustering Technique. 7. Natural Language Processing for Information Retrieval. 8. Deep learning (DL) for Information retrieval (IR). 9. Application of Ontology in Domain Specific Information Retrieval: A case study. 10. Applications of Natural Language Processing and Information Retrieval.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Optimality;Semantic Search;Natural Language Processing;Structured Data;Unstructured Data;Computational Models;Web Information;NLP Technique;User Query;Semantic SE;IR;Matching Functions;Semantic IR;Ontological Token;Word Embeddings;Part Of Speech Tagging;End Procedure;Stop Word Removal;Traditional Search Engines;Cluster Head;PSO Algorithm;Scout Bees;IR Technique;Template Token;Reset Gate;IR System;Cluster Elements;Word Tokenization;UCI Repository;Generated Weight Matrix;Matching Coefficients
1. Introduction. 2. Matching Functions. 3. Information Retrieval Models. 4. Hybrid Swarm Intelligence Approaches for Optimal Information Retrieval. 5. Information Retrieval and Semantic Search. 6. Ontology Creation using Clustering Technique. 7. Natural Language Processing for Information Retrieval. 8. Deep learning (DL) for Information retrieval (IR). 9. Application of Ontology in Domain Specific Information Retrieval: A case study. 10. Applications of Natural Language Processing and Information Retrieval.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Optimality;Semantic Search;Natural Language Processing;Structured Data;Unstructured Data;Computational Models;Web Information;NLP Technique;User Query;Semantic SE;IR;Matching Functions;Semantic IR;Ontological Token;Word Embeddings;Part Of Speech Tagging;End Procedure;Stop Word Removal;Traditional Search Engines;Cluster Head;PSO Algorithm;Scout Bees;IR Technique;Template Token;Reset Gate;IR System;Cluster Elements;Word Tokenization;UCI Repository;Generated Weight Matrix;Matching Coefficients
