There are 11 repositories under word-embedding topic.
自然语言处理(NLP)教程,包括:词向量,词法分析,预训练语言模型,文本分类,文本语义匹配,信息抽取,翻译,对话。
Pre-trained models and language resources for Natural Language Processing in Polish
One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations
Deep contextualized word representations for Chinese
Word Embedding + LSTM + FC
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Dead simple games made with word vectors.
Expose a Top2Vec model with a REST API.
🗺️ 一个自然语言处理的学习路线图
Library for Korean morpheme and word vector representation
MirasText
Sequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.
Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
Revised Version of SAT Model in "Improved Word Representation Learning with Sememes"
A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
Code for the paper "A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling" (ACL2018)
Geometry-aware Multilingual Embeddings
This repo contains my solution to the Stanford course "NLP with Deep Learning" under CS224n code. Here, you can find the solution for all classes starting form 2018
Python project to create a classifier to guess if a Twitter account is a man, a woman or a bot.
Automated solver for Semantris using OpenCV and Word Embeddings
Analysis of DNA Sequence Classification Using Neural Networks - Bioinformatics Course Project - Winter 2022
This repository consists of customized word embedding focused on banking and finance terms which will be helpful in analyzing and classifying financial sentiments or stock price sentiment analysis.
Project CRANE (Crisis Racism and Narrative Evaluation) aims to support researchers and anti-racist organisations that wish to use state-of-the-art text analysis algorithms to study how specific events impact online hate speech and racist narratives. CRANE Toolbox is a Python package: once installed, the tools in CRANE are available as functions that users can use in their Python programs or directly through their terminal. CRANE targets users with basic programming but no machine learning skills.
Python implementation of Embed2Detect for event detection in social media
Retraining embedding models to incorporate emotional constraints.