w2v
There are 33 repositories under w2v topic.
MorvanZhou/NLP-Tutorials
Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
ChengjinLi/machine_learning
机器学习、深度学习、NLP实战项目
Lambda-3/Indra
Indra is a Web Service which allows easy access to different distributional semantics models in several languages.
js1010/cusim
Superfast CUDA implementation of Word2Vec and Latent Dirichlet Allocation (LDA)
manhph2211/ViSR
This repo aims to build a web app that supports speech recognition system :smiley: It's simple to use and understand :smile:
HuichuanLI/GraphNeuralNetWork
玩转图神经网络和知识图谱的相关算法：GCN,GAT,GAFM,GAAFM,GraphSage,W2V,TRANSe
AsadiAhmad/Word-Embedding
Word Embeding with Simple model, w2v, Simple RNN, LSTM
esantus/Outlier_Detection
Data and code for the experiments in the Outlier Detection task proposed by Camacho-Collados et al.
PanosAntoniadis/slp-ntua
Lab exercises of Speech and Language Processing course in NTUA
andreabac3/NLP-Named-Entity-Recognition
Named Entity Recognition with 92.5% of F1-Score, developed in Pytorch using PoS embeddings, Word2Vec
vedantpuri/emoji-prediction
Predicts an emoji based on a given tweet using various NLP models.
Koziev/WordRepresentations
Сравнение нескольких способов представления слов для построения языковых моделей
frucci/2017
2017 repository
talmago/simple-but-tough-to-beat-examples
Bunch of examples of a "Simple but tough to beat baseline for sentence embeddings" in classification tasks
georgegach/w2v
Client-side Javascript Word2Vec text model loader
mizzle-toe/find-your-dream-job
Scraping, processing and analyzing job offers to help job seekers on their journey. Technologies used: Selenium, SQL, Word2Vec/Doc2vec, Google Cloud, Docker, FastAPI, Streamlit. Capstone project for Le Wagon Data Science Bootcamp.
shivamgupta7/Amazon-Fine-Food-Reviews
Amazon Fine Food Reviews is classification Sentiment Analysis problem. Classify the positive and negative reviews given by Amazon users. Given some product-based features and related reviews in text data. Featuring data and apply various Machine Learning techniques to classify reviews.
AimVoma/Sentiment-Mining
Graduation Project - Sentiment Mining
ianovski/google-play-store-nlp
A tool for analyzing Google Play Store reviews
mr8bit/SberOnline
🥇 Решение трека Sberbank Online по классификации пользовательских отзывов о приложении Sberbank Online в AppStore и Google Play.
abuhmhai/SentimentAnalysis_KNN
This project aims to analyze the sentiment of reviews by implementing a review polarity classification system. I will compare the performance of three different feature representations, namely Bag of Words, TFIDF, and Word2Vector using KNN Algorithms
Rahulraj31/NLP_Review_SportsAndOutdoor
Performing NLP on Amazon's review on sports and outdoor
Yyalexx/chat-bot
Чат-бот-«барахольщик»: по продуктовому запросу рекомендует товары, по остальным запросам отвечает «болталкой».(annoy, word2vec)
Anshler/fake_news_detector
Fake news detection in English and Vietnamese 📰❌
damartinezsi/An-unified-approach-to-link-prediction-in-collaboration-networks
This repository contains the files related to the article ‘An unified approach to link prediction in collaboration networks ’, as well as the results obtained in it.
kumarnik/quora-question-pair-similarity
Designed the model predicting the Duplicacy of the Quora Questions Pair using Advanced Feature Extraction, tfidf weighted WordtoVec, Machine Learning Algorithms with Hyperparameter Tuning.
TheGreatRico/nlp
Natural Language Processing sentiment analysis
damaohongtu/CNN-for-Sentence-Classification-in-Tensorflow
参考@yoonkim及其他仓库，完善CNN for Sentence Classification
kaiyoo/NLP-Misinformation-Detection
Detection of misinformation of climate change using topic modeling (LDA) and Word Vectors
marialuisacp/word2vec-gutemberg-project
Google code of Word2Vec in Gutemberg books.
navneetkr123/Step-By-Step-Data-Preprocessing-and-Encoding
In this notebook everything is done from data preprocessing to encoding
navreeetkaur/domain-adaptation
Domain Adaptation of Google's pre-trained Word Vectors to mid-19th century English Literature text | COL772 (NLP) @ IIT Delhi