5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CL2025
Developing a Comprehensive Framework for Sentiment Analysis in Turkish
Cem Rifki Aydin
In this thesis, we developed a comprehensive framework for sentiment analysis that takes its many aspects into account mainly for Turkish. We have also proposed several approaches…
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…