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Large Scale Supervised Learning for Unstructured Big Data Analytics
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Deep learning Algorithms for Supervised Word Embeddings
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Social Media Bot Detection using Big Data Analytics
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A Deep Learning based Word Embedding Framework for Mining of Turkish Documents
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A Preprocessing Framework for Twitter Bot Detection using NoSql DBs and Python based Data Engineering Tools
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A Data Collection and Preprocessing Framework for Opinion Mining and Sentiment Analysis using NoSql DBs and Python based Data Engineering Tools
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Concept based aspect aware Sentiment Analysis using NoSql DBs and Python based Data Engineering Tools or Machine Learning Libraries for Big Data (Apache Spark / MLLib / Mahout)
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University Student Profiling and Comparison from Twitter using NoSql DBs and Python based Data Engineering Tools
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Class Based Semantics for Supervised Word Sense Disambiguation (WSD)
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Opinion Leader Detection on Social Networks
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Semantic Supervised and Unsupervised Term Weighting Metrics
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Semi-Supervised Semantic Text Classification Algorithms (Random Walk Algorithms, Manifold Regularization)
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Concept-level Analysis of Natural Language (bag-of-concepts based language processing systems)
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Information Extraction, specifically Named Entity Recognition (NER) algorithms for Highly Noisy and Short Turkish Texts (Tweets)
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HR Analytics using NoSql DBs and Python based Data Engineering Tools or Machine Learning Libraries for Big Data (Apache Spark / MLLib / Mahout)
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