Text Summarization Approaches: Unlocking the Power of Concise Information
With the overwhelming amount of textual information available today, it has become essential to extract key insights quickly. Text summarization is an advanced Natural Language Processing (NLP) technique that condenses large amounts of text into a shorter, meaningful version while retaining the core message. From news articles to academic research, businesses and individuals rely on summarization techniques to save time and improve comprehension. Evolution of Text Summarization Techniques Initially, summarization was done manually, requiring significant time and effort. With technological advancements, automated summarization methods emerged, leveraging statistical models and AI-driven techniques. Today, deep learning and NLP have taken summarization to the next level, allowing for more context-aware and human-like summaries. Types of Text Summarization Extractive Summarization Extractive summarization involves selecting key sentences directly from the text and stitching them together ...
