Recent evolutions in the e-commerce market have led to an increasing importance attributed
by consumers to product reviews made by third parties before proceeding to purchase. The …

The ever-increasing number of Internet users and online services, such as Amazon, Twitter
and Facebook has rapidly motivated people to not just transact using the Internet but to also …

Over the last decade industrial and academic communities have increased their focus on
sentiment analysis techniques, especially applied to tweets. State-of-the-art results have …

In the last decade, the need to detect automatically irony to correctly recognize the sentiment
and hate speech involved in online texts increased the investigation on humorous figures of …

The increasing popularity of social media platforms such as Twitter and Facebook has led to
a rise in the presence of hate and aggressive speech on these platforms. Despite the …

The paper presents an intelligent system to automatically infer trends in the public opinion
regarding the stance towards the vaccination topic: it enables the detection of significant …

Social media offer a big amount of information, to exploit in many fields of research.
However, while methods for Natural Language Processing are being developed with good …

Sentiment analysis in a multilingual world remains a challenging problem, because
develo** language-specific sentiment lexicons is an extremely resourceintensive process …

Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …

Abstract The Sentiment Polarity Classification Task 2016 (SENTIPOLC), is a rerun of the
shared task on sentiment classification at the message level on Italian tweets proposed for …