I obtained my master and PhD in natural language processing in Japan. I studied machine learning, text mining and natural language processing.
My publications: [login to view URL]~s1220203/[login to view URL]
I am an expert in python, c++, nltk, scipy, numpy, pandas, theano, machine learning, neural networks, random forests, boosting, svm, convolutional neural netwoks, and recurrent neural networks.
I have a good publication about deep learning in the top NLP conference (EMNLP 2015). Please see the details below.
I have high knowledge and experience working on machine learning techniques:
- Probabilistic graphical models: topic models (LDA, HDP), bayesian nonparametric statistics.
- Deep Learning: RNN, ConNet, neural network.
- Matrix factorization: PCA, SVD, NMF.
- Traditional machin learning algorithms: SVM, Logistic Regression, CRF, KNN, Linear Regression, Kernel method and so on.
Some sample projects I worked on :
- Project 1: Sentiment Analysis
+ Topic model: proposed a novel topic model which can extract simultanesouly topics and their sentiments from text. ([login to view URL])
+ Deep learning: proposed a recursive neural network ([login to view URL])
+ Kernel method: ([login to view URL])
- Project 2: Multi-label text classification ([login to view URL]
- Other: entity linking, question answering ...