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Ba Alawi et al., 2024 - Google Patents

Performance Analysis of embedding methods for deep learning-based Turkish sentiment analysis models

Ba Alawi et al., 2024

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Document ID
3351563324058563519
Author
Ba Alawi A
Bozkurt F
Publication year
Publication venue
Arabian Journal for Science and Engineering

External Links

Snippet

The complex syntactic structure of Turkish text makes sentiment analysis in natural language processing (NLP) a challenging task. Conventional sentiment analysis methods often fail to effectively identify attitudes in Turkish texts, creating an urgent need for more efficient …
Continue reading at link.springer.com (HTML) (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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