Search Results for author:
Found 4 papers, 2 papers with code
Analyzing Scientific Publications using Domain-Specific Word Embedding and Topic Modelling
Word embedding is used to capture semantic meanings of domain-specific words.
Photozilla: A Large-Scale Photography Dataset and Visual Embedding for 20 Photography Styles
The dataset is then used to train 3 classification models to automatically classify the images into the relevant style which resulted in an accuracy of ~96%.
EPIC30M: An Epidemics Corpus Of Over 30 Million Relevant Tweets
In this paper, we present EPIC30M, a large-scale epidemic corpus that contains 30 millions micro-blog posts, i. e., tweets crawled from Twitter, from year 2006 to 2020.
CrisisBERT: a Robust Transformer for Crisis Classification and Contextual Crisis Embedding
However, none of the works perform crisis embedding and classification using state of the art attention-based deep neural networks models, such as Transformers and document-level contextual embeddings.
