Extractive Text Summarization from Web pages using Selenium and TF-IDF algorithm

To obtain an overview of the content present in numerous documents, is a time-consuming task. Similarly, searching for specific information online, from multiple websites and webpages is a monotonous task. To avoid this, automatic text summarization is one of the most widely adopted techniques today to get a concise and brief outline of the information. In this paper, a novel process is proposed to generate an extractive summary of the information based on the user's query by extracting data from multiple websites over the internet. Web-scraping through Selenium is also discussed. The Term Frequency-Inverse Document Frequency (TF-IDF) algorithm is applied for text summarization. The proposed approach is unique and efficient for generating summaries as per the user's request.