There are 1 repository under word-vectors topic.
👩🏫 Advanced NLP with spaCy: A free online course
Basic Utilities for PyTorch Natural Language Processing (NLP)
Multilingual word vectors in 78 languages
👑 spaCy building blocks and visualizers for Streamlit apps
Simple downloader for pre-trained word vectors
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
Yet another Python binding for fastText
A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
Rates the quality of a candidate based on his/her resume using unsupervised approaches
Code for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.
A little game powered by word vectors
semantic-sh is a SimHash implementation to detect and group similar texts by taking power of word vectors and transformer-based language models (BERT).
🔜 Integrative Toolbox of Word Embedding Research for Psychological Science.
Short Text Similarity as described in https://dl.acm.org/citation.cfm?id=2806475
Word2Vec Word Vectors trained on a North Korean Corpus / 조선어 (북한어) 단어 임베딩
A chatbot developed to help FIB students. It uses NLP + Machine learning techniques such as sentence classification, or entity recognition (NER), along with a Deep Learning dialogue management model.
Retraining embedding models to incorporate emotional constraints.
State-of-the-art count-based word embeddings for low-resource languages with a special focus on historical languages.
lda2vec pytorch implementation
This library provides functionality for rapidly sharing and retrieving word embeddings over the internet. (EMNLP 2017).
'dictvectoR' measures the similarity between a concept dictionary and documents, using fastText word vectors. Implements the "Distributed-Dictionary-Representation" (Garten et al. 2018) method in R.
Persian Word Embedding using FastText, BERT, GPT and GloVe | تعبیه کلمات فارسی با روش های مختلف
A package for reading/writing files containing pre-trained word embeddings and building "embedding matrices".
This repo contains my work for this specialization. The code base, quiz questions and diagrams are taken from the Natural Language Processing Specialization unless specified otherwise.
Personality plays a vital role in todays world.This uses the Twitter REST API to mine tweets for personality identification. We will use n-grams and word vectors for the hashtags, emoticons and phrases using NLP techniques. We will train the machine to classify the personality types by using a Naive- Bayes Text Classifier and to accurately predict the user’s Myers-Briggs personality type using 10- fold cross validation. We will generate a naive bayes classifier models for all 4 different classes. It will generate few scores which will give the training data size and the features used while training the model.
Course materials for "Meaningful Text Analysis with Word Embeddings," taught at the Digital Humanities Summer Institute, June 2021.
Word representation for Ukrainian with fastText
spaCy-compatible tokenizers and word vectors for medical text