w2v

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/Vietnamese-Speech-Recognition

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

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

AsadiAhmad/Word-Embedding

Word Embeding with Simple model, w2v, Simple RNN, LSTM

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

ngc436/reviews_classification_and_aspect_extraction

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 📰❌

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