A Framework for Web-Based News Data Mining Using Crawlers and NLP Techniques

The explosive growth of online news content offers a vast opportunity for data-driven research in web mining. This paper proposes a comprehensive framework for mining news data using web crawlers and Natural Language Processing (NLP) techniques. A customized crawler is developed to extract articles from prominent Indian news websites including India Today, The Hindu, and Indian Express, covering the period from January 2020 to April 2021. The raw data undergoes rigorous preprocessing, including tokenization, normalization, stop-word removal, and lemmatization, to produce a clean, structured corpus. The final dataset is organized into standard formats such as structured corpus files and Document-Term Matrices (DTM), facilitating downstream applications such as classification, clustering, and sentiment analysis. This framework lays the foundation for large-scale, real-time news analytics and can be adapted for multilingual or domain-specific news mining tasks.