We cannot overemphasize the essence of contextual information in most natural language
processing (NLP) applications. The extraction of context yields significant improvements in …

We identify three gaps that limit the utility and obstruct the progress of computational text
analysis methods (CTAM) for social science research. First, we contend that CTAM …

Online media is important for society in informing and shaping opinions, hence raising the
question of what drives online news consumption. Here we analyse the causal effect of …

Deep learning has unlocked new paths towards the emulation of the peculiarly-human
capability of learning from examples. While this kind of bottom-up learning works well for …

Over the recent years, the growth of online social media has greatly facilitated the way
people communicate with each other. Users of online social media share information …

Internet forums and public social media, such as online healthcare forums, provide a
convenient channel for users (people/patients) concerned about health issues to discuss …

Along with the emergence of the Internet, the rapid development of handheld devices has
democratized content creation due to the extensive use of social media and has resulted in …

In recent years, we have witnessed a rise in fake news, ie, provably false pieces of
information created with the intention of deception. The dissemination of this type of news …

The 1-D and 2-D emotion models realized by hardware circuits have been studied.
However, 3-D emotional model which is most suitable for human emotion has not been …

This paper presents a survey on hate speech detection. Given the steadily growing body of
social media content, the amount of online hate speech is also increasing. Due to the …