Szövegfeldolgozó

Szövegfeldolgozó, often translated as text processing, refers to the computational manipulation and analysis of human language. This broad field encompasses a wide range of techniques and technologies designed to enable computers to understand, interpret, and generate text. The core objective is to extract meaningful information from unstructured text data.

Key tasks within text processing include tokenization, which breaks down text into individual words or sub-word units, and stemming or lemmatization, which reduces words to their base or root form. Stop word removal, the elimination of common words like "a" or "the," is another frequent preprocessing step.

More advanced text processing involves techniques such as part-of-speech tagging, which identifies the grammatical role of each word, and named entity recognition, which locates and categorizes entities like people, organizations, and locations. Sentiment analysis aims to determine the emotional tone of a text, while topic modeling uncovers the underlying themes within a collection of documents.

Applications of text processing are vast and impact many areas. They are fundamental to search engines, spam filters, machine translation, chatbots, and content recommendation systems. The ongoing development in natural language processing (NLP) continues to push the boundaries of what computers can achieve with text.