Language detection models enable multilingual support, personalized content, and global data analysis. They optimize translation services, enhance cybersecurity, and improve e-commerce and search engine functionality. Essential for efficient digital interactions, these models ensure precise communication and tailored user experiences across languages and applications.
Developed a Language Detection project utilizing Natural Language Processing (NLP) techniques. This project accurately identifies and categorizes text data into different languages.
To execute the language detection model:
- File Overview: The project comprises 2 folders and 4 files.
- Download: Begin by downloading all files.
- Dataset: Utilize the
Languages_detection_22000.csv
dataset for model training. - Jupyter Notebook: Access
language_detection.ipynb
to view and run the NLP model code. - Configuration: Ensure to adjust file directories in the code to match your input data locations before execution.