Indra is a Web Service which allows easy access to different distributional semantics models in several languages.
Word to vector training in Golang using the skip-gram model.
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.
Lab exercises of Speech and Language Processing course in NTUA
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
Word Embeding with Simple model, w2v, Simple RNN, LSTM
Fake news detection in English and Vietnamese 📰❌
Natural Language Processing sentiment analysis
This repo builds an end-to-end deep learning application that supports speech recognition system. It's simple to use and understand 😄
Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
Detection of misinformation of climate change using topic modeling (LDA) and Word Vectors
Performing NLP on Amazon's review on sports and outdoor
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.
🥇 Решение трека Sberbank Online по классификации пользовательских отзывов о приложении Sberbank Online в AppStore и Google Play.
Superfast CUDA implementation of Word2Vec and Latent Dirichlet Allocation (LDA)
Designed the model predicting the Duplicacy of the Quora Questions Pair using Advanced Feature Extraction, tfidf weighted WordtoVec, Machine Learning Algorithms with Hyperparameter Tuning.
A tool for analyzing Google Play Store reviews
Named Entity Recognition with 92.5% of F1-Score, developed in Pytorch using PoS embeddings, Word2Vec
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