6 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CL2020★ 6 cited
Sentiment Analysis Using Averaged Weighted Word Vector Features
Ali Erkan, Tunga Gungor
People use the world wide web heavily to share their experience with entities such as products, services, or travel destinations. Texts that provide online feedback in the form of…
cs.CL2020★ 5 cited
Generating Word and Document Embeddings for Sentiment Analysis
Cem Rıfkı Aydın, Tunga Güngör, Ali Erkan
Sentiments of words differ from one corpus to another. Inducing general sentiment lexicons for languages and using them cannot, in general, produce meaningful results for different…
cs.CL2014★ 1 cited
Dictionary-Based Concept Mining: An Application for Turkish
Cem Rıfkı Aydın, Ali Erkan, Tunga Güngör +1
In this study, a dictionary-based method is used to extract expressive concepts from documents. So far, there have been many studies concerning concept mining in English, but this…