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Vol 16, Issue 1, 2024
Pages: 802 - 809
Research paper
Other Editor: Stepgrad Conference
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Published: 12.06.2024. Research paper Other Editor: Stepgrad Conference

USING NATURAL LANGUAGE PROCESSING (NLP) FOR CATEGORIZING PAPER TITLES FROM GOOGLE FORMS

By
Ana Lojić ,
Ana Lojić
Contact Ana Lojić

Information Technology, FACULTY OF ENGINEERING, NATURAL AND MEDICAL SCIENCES, International Burch University, Sarajevo, Bosnia and Herzegovina

Zerina Mašetić ,
Zerina Mašetić

Information Technology, FACULTY OF ENGINEERING, NATURAL AND MEDICAL SCIENCES, International Burch University, Sarajevo, Bosnia and Herzegovina

Samed Jukić
Samed Jukić

Information Technology, FACULTY OF ENGINEERING, NATURAL AND MEDICAL SCIENCES, International Burch University, Sarajevo, Bosnia and Herzegovina

Abstract

Modern data collection, storage, and processing rely on diverse techniques to handle various types of information, ranging from structured tables to free-form text. This paper explores the captivating application of Natural Language Processing (NLP) for categorizing titles from Google Forms or any other textual data. The process of training an NLP model will be demonstrated through a specific example. Just as we learn from our past experiences, NLP models need to be fed with relevant data and labels. This ensures accurate and efficient processing even when new titles are introduced. We will conclude with a fascinating demonstration of how NLP algorithms analyze the structure and meaning of titles. By identifying keywords and understanding the context, they can automatically classify titles into relevant categories. This dramatically simplifies data organization and analysis, empowering us to extract valuable insights faster.

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