Negation and speculation are universal linguistic phenomena that affect the performance of
Natural Language Processing (NLP) applications, such as those for opinion mining and …

Negation handling is a crucial aspect of sentiment analysis, as it presents challenges to
accurate sentiment classification by altering polarity and reducing reliability. Traditional …

Choosing a comprehensive and cost-effective way of articulating and annotating the
sentiment of a text is not a trivial task, particularly when dealing with short texts, in which …

Emotion intelligence plays an important role in building a successful human–machine
dialogue system. However, the extreme difficulty of capturing emotional information of social …

In this manuscript, we present our efforts to develop an accurate sentiment analysis model
for Bosnian-language tweets which incorporated three elements: negation cues, AnA-words …

Abstract [eng] The analysis of emotions expressed in natural language text, also known as
sentiment analysis, is a key application of natural language processing (NLP). It involves …

In this research, a method of developing a machine model for sentiment processing in the
Serbian language is presented. The Serbian language, unlike English and other popular …

Nowadays, many electronic health reports (EHRs) are stored daily. They consist of the
structured part and of an unstructured section written in natural language. Due to the limited …

With the advance of sentiment analysis techniques, several studies have been on Multi-
Criteria Recommender Systems (MCRS) leveraging sentiment information. However, partial …

Sentiment analysis is the process of identifying and categorizing opinions computationally to
determine the attitude expressed in the spoken or written text as positive, negative, or …