This is a web app that integrates GPT-3 with google searches
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Updated
Mar 5, 2023 - Python
This is a web app that integrates GPT-3 with google searches
Implementation of word2vec in PyTorch
Machine translation is the task of converting one language to other. Unlike the traditional phrase-based translation system which consists of many small sub-components that are tuned separately, neural machine translation attempts to build and train a single, large neural network that reads a sentence and outputs a correct translation.
Place2Vec ground truth dataset
Machine learning pipeline to predict relevant categories based on a product name and product description, using NLP and Deep learning concepts.
Reference implementation of the paper "Word Embeddings for Entity-annotated Texts"
Convolution Neural Network for classification of semantic relations in a sentence
A simple python tool for embedding comparison
word embedding resources for sentiment classification
Hate speech detection from code-mixed Hindi-English tweets using deep learning models. This project reports an increment to the state-of-the-art in hate speech detection for English-Hindi code-mixed tweets. The models result in an improvement of about 12% in F-score over a past work that used statistical classifiers.
A Forum-based Chatbot for Parents of Autistic Children, built using Word and Sentence Embeddings.
Learning Personality is a bachelor internship project that use neural networks to extract, from natural language (in particular reviews), personality traits, through automatic approaches. @unimib17/18.
Detailed analysis of the research project, carried out during my bachelor internship, entitled "Neural Networks for the Learning of personality traits from Natural Language". @unimib17/18.
Panama Papers analysis using Graph Analytics and Embeddings
My master project at UofL: End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning
Repository for the paper "RDFsim: Similarity-Based Browsing over DBpedia using Embeddings", containing the current version of RDFsim which is available through https://demos.isl.ics.forth.gr/RDFsim/ .
Predicting Supreme Court Decisions
Use Key NLP techniques to classify news articles into categories: Bag_of_Words (tf-Idf), word embeddings and BERT language model
A collection of Natural Language Processing challenges and my solutions for them that include traditional methods and deep learning.
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