o:30266 Creating a Stop Word Dictionary in Serbian en Abstract: By using natural language processing techniques, it is possible to get a lot of information from the extraction of document topics through mapping of document key words or content-based classification of documents, etc. To get this information, an important step is to separate words that carries informative value in a sentence from those words that do not affect its meaning. By using dictionaries of stop words specific to each natural language, the marking of words that do not carry meaning in the sentence is achieved. This paper presents creating a stop word dictionary in Serbian. The influence of stop words to text processing is presented on three different data set. It is shown that by using proposed dictionary of Serbian stop words the data set dimension is reduced from 15% to 39%, while the quality of the obtained n-gram language models is improved. Keywords: stop words, Serbian, text mining, natural language processing, normalization. 1552099 10.5937/SPSUNP2101017M 1552101 2217-5539 2023-06-23T11:47:48.738Z 44 no 46 Ulfeta A. Marovac Državni univerzitet u Novom Pazaru 86849033 0000-0001-7232-3755 Aldina R. Avdić Državni univerzitet u Novom Pazaru person 0000-0003-4312-3839 Adela B. Ljajić person 0000-0001-7326-059X application/pdf 157429 https://phaidrabg.bg.ac.rs/o:30266 no yes 21 70 92000001 20A01 Scientific Publications of the State University of Novi Pazar Series A: Applied Mathematics, Informatics and mechanics 13 1 17 25 2021