Tekstikokkuvõte

Tekstikokkuvõte, commonly translated as text summarization, is the process of creating a shorter version of a longer text that retains the most important information and core meaning. The goal of a tekstikokkuvõte is to convey the essential points of the original document efficiently, saving the reader time and effort. This can be achieved through various methods, both manual and automated.

Manual tekstikokkuvõte involves a human reading and understanding the source text and then writing a condensed version based on their comprehension. This approach often leads to high-quality summaries that capture nuance and context. Automated tekstikokkuvõte, on the other hand, uses algorithms and natural language processing (NLP) techniques to generate summaries. These systems can be extractive, meaning they select and stitch together important sentences from the original text, or abstractive, where they generate new sentences that rephrase the information in a more concise way.

Tekstikokkuvõte has numerous applications. It is widely used in news aggregation, research, academic settings, and business intelligence. For example, it can help researchers quickly review large volumes of literature, journalists condense articles for headlines or brief reports, and professionals stay updated on industry trends without having to read every document in full. The effectiveness of a tekstikokkuvõte is often judged by its accuracy, coherence, and conciseness.