Despite the increasing use of social media platforms for information and news gathering, its
unmoderated nature often leads to the emergence and spread of rumours, ie, items of …

Sentiment analysis is a task of natural language processing that has recently attracted
increasing attention. However, sentiment analysis research has mainly been carried out for …

Fine-tuned pre-trained language models (LMs) have achieved enormous success in many
natural language processing (NLP) tasks, but they still require excessive labeled data in the …

Developing corpora for sentiment analysis and opinion mining: the case of irony and Senti-TUT
Page 1 1 Abstract—In recent years several efforts were devoted to automatically mining …

This paper presents the study of sentiment analysis for Amharic social media texts. As the
number of social media users is ever-increasing, social media platforms would like to …

Crowdsourcing is currently attracting much attention from organisations for its competitive
advantages over traditional work structures regarding how to utilise skills and labour and …

Chambers and Jurafsky (2009) demonstrated that event schemas can be automatically
induced from text corpora. However, our analysis of their schemas identifies several …

OpenStreetMap (OSM) is a recent emerging area in computational science. There are
several unexplored issues in the quality assessment of OSM. Firstly, researchers are using …

Paid micro-task crowdsourcing has gained in popularity partly due to the increasing need for
large-scale manually labelled datasets which are often used to train and evaluate Artificial …

Abuse and hate are penetrating social media and many comment sections of news media
companies. To prevent losing readers who get appalled by inappropriate texts, these …