A package that split misspelled words semantically
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Updated
Aug 1, 2019 - Python
A package that split misspelled words semantically
Source code for Graded Weighted Bag of Word Model (Coling 2016)
Natural Language Processing implementations from scratch in Python.
Algunos nbs sobre procesamiento del lenguaje natural
A repository for my semester project for my graduate Data Mining I.
Code to create a natural language search facility in Google BigQuery
🤖💻This repository showcases a comprehensive Natural Language Processing (NLP) pipeline implemented in Python using Jupyter notebooks. The pipeline deploys various machine learning techniques to classify labeled dataset. The pipeline employs comparisons of the dataset using Recurrent Neural Network (RNN) and RandomForest Classifier algorithms.
Deep Visual-Semantic Embeddings
Pre-trained word vectors of 30+ languages
Categorizing Product reviews in appropriate categories.
Fake News Detection using related Headline Article pair
How to train Word2Vec for your language.
Visualization of word embeddings using various algorithms.
Simple & Effective Dimensionality Reduction for Word Embeddings. Presented at NIPS 2017 LLLD & RepL4NLP 2019 Workshop.
A collection of PyTorch implementations of GPT-2 to generate stories interactively or autonomously done during my Internship at the University College Dublin in the Computational Creativity Group
Identifying Interpretable Word Vector Subspaces with PCA
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