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saberivan's Projects

analysis-of-classifiers-robust-to-noisy-labels icon analysis-of-classifiers-robust-to-noisy-labels

Analysis of robust classification algorithms for overcoming class-dependant labelling noise: Forward, Importance Reweighting and T-revision. We demonstrate methods for estimating the transition matrix in order to obtain better classifier performance when working with noisy data.

contract-understanding-atticus-dataset-cuad-for-nlp-research icon contract-understanding-atticus-dataset-cuad-for-nlp-research

This project addresses the challenges of processing the Contract Understanding Atticus Dataset (CUAD) for NLP research in the legal domain. Due to the extensive length of legal contracts and the intricate structure of data, conventional processing methods can lead to inefficiencies and Out-of-Memory (OOM) issues

dqn_socialnetwork icon dqn_socialnetwork

Combatting fake news on social networks, diffusion of Social Network Simulation through Reinforcement Learning

rapid-automatic-keyword-extraction icon rapid-automatic-keyword-extraction

A Cloud Computing Assignment focusing on the use of Spark RDD API for text analysis in cloud environments, and a RAKE Implementation Report that applies the Rapid Automatic Keyword Extraction (RAKE) algorithm for keyword extraction in natural language processing (NLP).

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