Tekstikokkuvõttes

Tekstikokkuvõttes is an Estonian term that translates to "text summary" or "summary of text." It refers to the process of condensing a larger piece of text into a shorter, more concise version that retains the main ideas and essential information. This can be done manually by a human reader or automatically by a computer program.

The purpose of creating a tekstikokkuvõttes is to quickly grasp the core message of a document without needing to read the entire original text. This is particularly useful for dealing with large volumes of information, such as research papers, news articles, or long reports. A good summary should be accurate, objective, and representative of the original content.

Automated text summarization techniques often employ natural language processing (NLP) and machine learning algorithms. These systems analyze the input text to identify key sentences, phrases, or topics. There are two main approaches: extractive summarization, which selects and combines existing sentences from the original text, and abstractive summarization, which generates new sentences that capture the essence of the original content, potentially using words not present in the source.

Tekstikokkuvõttes plays a vital role in information retrieval, content management, and making information more accessible. It helps users save time, understand complex subjects more easily, and make informed decisions based on the key takeaways from a text.