• 👋 Hi, I’m @malinphy

Mehmet Ali Nebioglu

Natural Language Processing

• Named Entity Recognition

  • Classification of named entities in a given sentence. System is designed with pre-trained BERT model.

• Question Answer Matching by univesal sentence encoder

  • Tensorflow/Keras implementation of Question answer matching system. In short, this project is designed for finding the best possible answers for related questions.

• Natural Language Inference Sentence embeddings

  • Detection of whether given sentence logically follows to next sentence. Sentences are vectorized using Universal Sentence Encoder(USE) and system has been trained to optimize similarity of sentece vectors.

• Sentiment Classification

  • Sentiment classification on twitter dataset. Deep neural network system on multi-class classification.

• Question Answering

  • Question answering with BERT model on SQUAD v1.1..

Recommender Systems Deep learning based modern recommendation systems has been worked.

• Two Stage Recommender System
  • Retrieval part to reduce the number of potential items
  • Ranking part to provide a recommendation list of items for each user.
• Convolutional Ranking based recommender system
  • Personalized Sequential Recommender System
• Neural Collaborative Filtering
  • Neural network approach of matrix factorization

Agents/Travel_Agent

A\B Testing