Projects

This folder contains several individual projects done during my studies

• Evaluating a Bias Compensation Method for Sequential Monte Carlo

  In this project we propose a method, which uses the asymptotic distribution of the log-marginal likelihood for the bias correction. We evaluate this method empirically in order to conclude whether or not it improves the estimate compared to conventional methods.

• Sentiment Analysis and Deceptive Opinion Spam for Hotel Reviews

  In this project, we first perform a sentiment analysis using an SVM model for positive and negative reviews. The evaluation of the model is done in a different dataset (reviews from a different source). We also perform a deceptive opinion spam (i.e classify the reviews as deceptive or truthful) starting with a model selection between Gradient Boosting, SVM and Logistic regression.