Web Scraping for Nepali Language: Collecting and Analyzing Text Corpus for Classification and Semantics

This comprehensive course provides hands-on training on web scraping techniques using Python to collect text corpus in the Nepali language. You will learn how to scrape data from websites and utilize the collected corpus for classification and semantics tasks in Natural Language Processing (NLP). Through a combination of lectures, demonstrations, and practical exercises, you will gain the necessary skills to apply web scraping and NLP techniques effectively.

By the end of this course, you will have a solid understanding of web scraping fundamentals, proficiency in Python for data scraping, and the ability to collect and utilize text corpus in the Nepali language for classification and semantics tasks in NLP. This course welcomes students with no prior experience in web scraping or NLP, making it accessible to beginners.

Programming: Basic knowledge of programming concepts in Python

Introduction to Web Scraping:

• Basics of web scraping and its applications
• Tools and libraries for web scraping with Python

Web Scraping with Python:

• Understanding HTML structure and CSS selectors
• Extracting data from web pages using Beautiful Soup and other libraries
• Handling pagination and dynamic content scraping

Collecting Text Corpus in Nepali Language:

• Identifying relevant websites for data collection
• Defining data collection strategies and ethical considerations
• Scraping news articles, blog posts, and social media data in Nepali language

Preprocessing and Corpus Management:

• Cleaning and preprocessing scraped text data
• Organizing and structuring the text corpus for classification and semantics tasks
• Dealing with data quality issues and normalization challenges

NLP Tasks using the Text Corpus:

• Content classification using machine learning techniques
• Semantic analysis for sentiment analysis and topic modeling
• Leveraging NLP libraries and tools for Nepali language processing