Textual Affect: A Computational Study based on Emotions in Text

Computational Intelligence and Data Analytics Lab
Department of Computer Science
University of Calicut


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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 ...

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Fake 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 ...

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Affective 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 ...

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Datasets


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HWB

HWB (Health and Well Being) dataset consists of 500 fake and 500 legitimate textual news articles within the domain of health and well being.

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REN-20K

REN-20K (Readers' Emotion News) dataset consists of 20K textual news articles with associated readers' emotions like anger, fear, joy, sadness, etc.

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REN-10K

REN-10K (Readers' Emotion News) dataset consists of 10K textual news articles with associated readers' emotions like anger, fear, joy, sadness, etc.

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RENh-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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