Big Data and Text Analytics (BIGD&TA) Research Lab.

Current Projects

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

  • TÜBİTAK 3501 Career Award, 111E239, Development of Semantic Semi-Supervised Algorithms for Textual Data Mining (Successfully completed with several SCI Journal and International Conference publications)
    Murat Can Ganiz (Principle Investigator) , Berna Altınel (Research Assistant, PhD student)
  • Using Domain Knowledge for Improving Text Mining Algorithms
    Mithat Poyraz , Burak Görener , Murat Diker
  • Semantic Smoothing Algorithms for Text Mining
    Dilara Torunoğlu (COME MS), Abdülkerim Canbay (COME), Hamdi Atacan Oğul (COME)
  • Smoothing Methods for Bayesian Algorithms
    Zeynep Hilal Kilimci (COME MS), Işıl Çoşkun (ISE-graduated with honors)
  • Semi-supervised Learning Algorithms for Text Mining
    İsmail Murat Engün (ISE-graduated with honors), Süleyman Kaan Yeloğlu (ISE), Abdülhadi Çelenlioğlu (ISE)
  • Concept Ranking Algorithms for Natural Language Processing
    Mithat Poyraz , Çağla Şahinli
  • Abnormal Event Detection on BGP Traffic
    Erkan Köşlük (ISE-graduated), Inigo Ortiz de Urbina (COME Erasmus)
  • Intelligent Focused Web Crawler Project
    Mithat Poyraz (COME MS), Duygu Taylan (COME-graduated with honors)
  • Preprocessing Methods for Turkish Text Classification
  • Spectral Algorithms for Document Clustering
  •