This work studies how we can obtain feature-level ratings of the mobile products from the
customer reviews and review votes to influence decision-making, both for new customers …

With the presence of a massive amount of digitally recorded data, an automated
computation can be preferable over the manual approach to evaluate sentiments within …

Texts and emoticons expressing sentiment can be used to analyse emotion. In an Internet
environment, emoticons are frequently used, which have explicated information for emotion …

Natural language understanding (NLU) is integral to various social media applications.
However, the existing NLU models rely heavily on context for semantic learning, resulting in …

Sentiment classification of web social media faces the problem of text context semantics
missing. The existing research mainly solves the problem of text context semantic missing by …

Sentiment classification on tweets often needs to deal with the problems of under-specificity,
noise, and multilingual content. This study proposes a heterogeneous multi-layer network …

While there is increasing global attention to data privacy, most of their current theoretical
understanding is based on research conducted in a few countries. Prior work argues that …

Hate speech is about making insults, threats, or stereotypes towards people or a group of
people because of its characteristics such as origin, race, gender, religion, disabilities, and …

With the surge of deep learning framework, various studies have attempted to address the
challenges of sentiment analysis of tweets (data sparsity, under-specificity, noise, and …

Due to its ease and popularity, social media has recently become an essential source of
data for researchers and various stakeholder groups that seek a reliable assessment of their …