Textual Affect: A Computational Study based on Emotions in Text
Computational Intelligence and Data Analytics Lab
Department of Computer Science
University of Calicut
Readers' Emotion Detection
Technological advancements in web platforms allow people to express and share emotions towards textual write-ups written and shared by others. This brings about different ...
Read MoreFake News Detection
Identifying fake news is increasingly being recognized as an important computational task with high potential social impact. Misinformation is routinely injected into almost every domain ...
Read MoreAffective Bias in NLP
Groundbreaking inventions and highly significant performance improvements in deep learning based Natural Language Processing are witnessed through the development of transformer based ...
Read MoreDatasets
REN-20K
REN-20K (Readers' Emotion News) dataset consists of 20K textual news articles with associated readers' emotions like anger, fear, joy, sadness, etc.
DownloadREN-10K
REN-10K (Readers' Emotion News) dataset consists of 10K textual news articles with associated readers' emotions like anger, fear, joy, sadness, etc.
DownloadRENh-4K
RENh-4K (Readers' Emotion News headlines) dataset consists of 4K textual news headlines with associated readers' emotions like anger, fear, joy, etc.
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