In recent years, emotion detection in text has become more popular due to its vast potential
applications in marketing, political science, psychology, human-computer interaction …

Large-scale relational learning becomes crucial for handling the huge amounts of structured
data generated daily in many application domains ranging from computational biology or …

Investors are constantly aware of the behaviour of stock markets. This affects their emotions
and motivates them to buy or sell shares. Financial sentiment analysis allows us to …

Cyberbullying (harassment on social networks) is widely recognized as a serious social
problem, especially for adolescents. It is as much a threat to the viability of online social …

Today millions of web-users express their opinions about many topics through blogs, wikis,
fora, chats and social networks. For sectors such as e-commerce and e-tourism, it is very …

In this book common sense computing techniques are further developed and applied to
bridge the semantic gap between word-level natural language data and the concept-level …

Web 2.0 has changed the ways people communicate, collaborate, and express their
opinions and sentiments. But despite social data on the Web being perfectly suitable for …

In a world in which millions of people express their opinions about commercial products in
blogs, wikis, fora, chats and social networks, the distillation of knowledge from this huge …

Sentiment analysis is one of the recent, highly dynamic fields in Natural Language
Processing. Most existing approaches are based on word-level analysis of texts and are …

This survey aims to investigate, analyze, and compare the state‐of‐the‐art chatbots'
feasibility and defects for psychotherapy. The survey points out a series of tasks necessary …