278 citations · 317 across the 4 of their papers we have counts for
4 papers
NepEMO: A Multi-Label Emotion and Sentiment Analysis on Nepali Reddit with Linguistic Insights and Temporal Trends
Sameer Sitoula, Tej Bahadur Shahi, Laxmi Prasad Bhatt +2
Social media (SM) platforms (e.g. Facebook, Twitter, and Reddit) are increasingly leveraged to share opinions and emotions, specifically during challenging events, such as natural…
Monkeypox virus detection using pre-trained deep learning-based approaches
Chiranjibi Sitaula, Tej Bahadur Shahi
Monkeypox virus is emerging slowly with the decline of COVID-19 virus infections around the world. People are afraid of it, thinking that it would appear as a pandemic like COVID-1…
Recent Advances in Scene Image Representation and Classification
Chiranjibi Sitaula, Tej Bahadur Shahi, Faezeh Marzbanrad +1
With the rise of deep learning algorithms nowadays, scene image representation methods have achieved a significant performance boost in classification. However, the performance is…
Multi-channel CNN to classify nepali covid-19 related tweets using hybrid features
Chiranjibi Sitaula, Tej Bahadur Shahi
Because of the current COVID-19 pandemic with its increasing fears among people, it has triggered several health complications such as depression and anxiety. Such complications ha…