o:30275 Towards the lexical resources for sentiment-reach informal texts – the Serbian language case en Abstract: In this paper, the sentiment dictionary is presented as one of the lexical resources necessary for the sentiment analysis. The use of this resource is related to the existence of other specific resources that are adapted to the ultimate goal - in this case, sentiment analysis. Thus, in order to normalize documents for sentiment analysis, a specific stop word dictionary is needed (for example, it does not contain negation signals), then a stemmer or a lemmatizer to transform the word to the basic form, to which the words from the sentence must be reduced. Informal writing on social networks leads to the impossibility of applying standardized lexical resources. Therefore, in order to improve the results parallel lexical resources are made. Keywords: sentiment analysis, social media, n-grams, lexicon 2023-06-23T12:58:44.561Z 44 no 46 Ulfeta Marovac Državni univerzitet u Novom Pazaru 86849033 0000-0001-7232-3755 Adela Ljajić Državni univerzitet u Novom Pazaru person 0000-0001-7326-059X Ejub Kajan Državni univerzitet u Novom Pazaru person 0000-0002-3753-3535 Aldina Avdić Državni univerzitet u Novom Pazaru person 0000-0003-4312-3839 application/pdf 146642 https://phaidrabg.bg.ac.rs/o:30275 no yes 1 70 92000004 20A01 5th International Conference „Contemporary Problems of Mathematics, Mechanics and Informatics“ 2018