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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM27407
Volume:
7 |
12 |
Dec 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Web page language detection using machine learning and Flask is a pivotal application that combines the strengths of machine learning algorithms and the Flask web framework to automatically identify the language of web content. Machine learning models, trained on diverse multilingual text datasets, analyze linguistic and statistical features to predict the language of a given text. Flask, a lightweight Python web framework, simplifies the deployment of this language detection model as a web service. The integration of machine learning and Flask offers numerous advantages for web developers and content managers. Machine learning models excel in accurately identifying languages, even in the presence of multilingual or short text snippets, enhancing the user experience. Flask’s modularity and ease of use make it an ideal platform for integrating the language detection model into web applications and websites.
KEYWORDS
Publication Date
12/28/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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