Natural language processing (NLP) is a theory-motivated range of computational techniques
for the automatic analysis and representation of human language. NLP research has …

New Avenues in Opinion Mining and Sentiment Analysis Page 1 New Avenues in Opinion
Mining and Sentiment Analysis Erik Cambria, Member, IEEE, Björn Schuller, Member, IEEE …

One key task of fine-grained sentiment analysis of product reviews is to extract product
aspects or features that users have expressed opinions on. This paper focuses on …

With the advent of Web 2.0, people became more eager to express and share their opinions
on web regarding day-to-day activities and global issues as well. Evolution of social media …

With the increasing development of Web 2.0, such as social media and online businesses,
the need for perception of opinions, attitudes, and emotions grows rapidly. Sentiment …

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 …

SenticNet is a publicly available semantic and affective resource for concept-level sentiment
analysis. Rather than using graph-mining and dimensionality-reduction techniques …

SenticNet is the knowledge base which the sentic computing framework leverages on for
concept-level sentiment analysis. This chapter illustrates how such a resource is built. In …

The Web is evolving through an era where the opinions of users are getting increasingly
important and valuable. The distillation of knowledge from the huge amount of unstructured …

Human emotions and their modelling are increasingly understood to be a crucial aspect in
the development of intelligent systems. Over the past years, in fact, the adoption of …