Analiza nastrojów w sieciach społecznych
[Sentiment analysis in social networks]

Van Hieu Bui (Doctoral School - Computer Science, PWr, Wrocław)


Sentiment analysis has been one of the most active areas of research in Natural 
Language Processing since the early 2000s. The objective of sentiment analysis is to 
develop automatic tools capable of extracting subjective information such as opinions 
and sentiments from natural language texts, and then creating structured and actionable 
knowledge that can be used by a decision support system or a decision maker. Depending 
on the dataset and the purpose, sentiment classification can be binary (positive or 
negative), ternary (positive, negative, or neutral), or consist of even more classes. 
This talk provides an overview of sentiment analysis in social networks, including 
methods, examples, applications, challenges, and future research directions in 
sentiment analysis.