Search Results for author: Mohammad R. K. Mofrad

Found 6 papers, 1 papers with code

UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages

no code implementations LREC 2020 Ehsaneddin Asgari, Fabienne Braune, Benjamin Roth, Christoph Ringlstetter, Mohammad R. K. Mofrad

We introduce a method called DomDrift to mitigate the huge domain mismatch between Bible and Twitter by a confidence weighting scheme that uses domain-specific embeddings to compare the nearest neighbors for a candidate sentiment word in the source (Bible) and target (Twitter) domain.

Sentiment Analysis Unsupervised Domain Adaptation

ProtVec: A Continuous Distributed Representation of Biological Sequences

1 code implementation17 Mar 2015 Ehsaneddin Asgari, Mohammad R. K. Mofrad

Named bio-vectors (BioVec) to refer to biological sequences in general with protein-vectors (ProtVec) for proteins (amino-acid sequences) and gene-vectors (GeneVec) for gene sequences, this representation can be widely used in applications of deep learning in proteomics and genomics.

Classification General Classification

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