The popularity of social media and computer-mediated communication has resulted in high-
volume and highly semantic data about digital social interactions. This constantly …

Visualization of sentiments and opinions extracted from or annotated in texts has become a
prominent topic of research over the last decade. From basic pie and bar charts used to …

Recent advances in machine learning have led to computer systems that are humanlike in
behavior. Sentiment analysis, the automatic determination of emotions in text, is allowing us …

In the past 10 years, how to visualize human emotions in communication has become an
important topic. For providing personalized customer service for enterprises from self …

In the field of data visualization, there has been a recent trend of using a complex type of
visualization with a multidimensional structure or using several visualizations in parallel …

This chapter gives a bird's eye view of the different approaches and techniques for applying
machine learning and sentiment analysis models on tourism review data. The literature …

Sentiment visualization is concerned with visual representation of sentiments, emotions,
opinions, and stances typically detected in textual data, for example, charts or diagrams …

Sentiment visualization techniques are information visualization approaches that focus on
representing the results of sentiment analysis and opinion mining methods. Sentiment …

This thesis presents original research in the subject of Machine Learning and more
specifically in the fields of Natural Language Processing and Information Extraction. Natural …

Social Media, Linnaeus University Dissertations No 347/2019, ISBN: 978-91-88898-47-0
(print), 978-91-88898-48-7 (pdf). Rapid progress in digital technologies has transformed the …