Produced a summary for the definition of "Machine Learning" from Wikipedia using NLP techniques.

Tutorials & Projects from Subject COMP90042 Natural Language Processing in the University of Melbourne

Large-Scale Urdu Image-Caption Dataset with Multimodal Quality Estimation

Word2Vec-based Game of Thrones analysis

Sentiment Analysis Classifier is a system that classifies user-inputted text as either positive or negative using natural language processing (NLP) and machine learning.

python + OpenCL implementation of GloVe word embeddings

Hindi to English translation using Seq2Seq with attention mechanism model

Course work for my Stanford AI Graduate Certificate

This assignment involved the implementation of a pre-trained DistilBERT model, a BERT based language model, to predict the sentiment of a given movie review.

Natural Language Processing

A website that takes an English sentence as an input and the Python back-end will organise the sentence and return all the words attached with what type of word they are.

The aim of this work is to solve Audio Intent Detection Problem using off the shelf libraries

NLP and Sentiment Analysis

JARVIS is a virtual assistant project aimed at providing users with a personalized and intelligent assistant that can perform various tasks such as voice commands, weather updates, web searching, and more.

Skip-gram is a Natural Language Processing word2vec learning algorithm that efficiently produces vector representations for a text corpus

Avaliação intermediária da disciplina de Natural Language Processing.

This is project for sequence to sequence NLP task. We developed a custom model to understand the process of task using PyTorch. We also fine tuned pre-trained transformer models to improve the performance of translation task.