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Generating Word and Document Embeddings for Sentiment Analysis., , and . CoRR, (2020)Sign analysis technique for predicting system behavior., and . Int. J. Intell. Syst., 7 (5): 419-444 (1992)Optimization of dependency and pruning usage in text classification., and . Pattern Anal. Appl., 15 (1): 45-58 (2012)Question Analysis for a Closed Domain Question Answering System., , , , , , and . CICLing (2), volume 9042 of Lecture Notes in Computer Science, page 468-482. Springer, (2015)Joint Learning of Named Entity Recognition and Dependency Parsing using Separate Datasets., and . Computación y Sistemas, (2019)Resources for Turkish morphological processing., , and . Lang. Resour. Evaluation, 45 (2): 249-261 (2011)Representing Overlaps in Sequence Labeling Tasks with a Novel Tagging Scheme: Bigappy-Unicrossy., , and . CICLing (1), volume 13451 of Lecture Notes in Computer Science, page 622-635. Springer, (2019)Sentiment analysis in Turkish: Supervised, semi-supervised, and unsupervised techniques., and . Nat. Lang. Eng., 27 (4): 455-483 (2021)Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags., , and . COLING, page 2082-2092. Association for Computational Linguistics, (2018)Turkish Rule-Based Official Document Type Detection., , , , , and . SIU, page 1-4. IEEE, (2020)