Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
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Updated
May 22, 2023 - Python
Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
Indra is a Web Service which allows easy access to different distributional semantics models in several languages.
Superfast CUDA implementation of Word2Vec and Latent Dirichlet Allocation (LDA)
This repo aims to build a web app that supports speech recognition system 😃 It's simple to use and understand 😄
Data and code for the experiments in the Outlier Detection task proposed by Camacho-Collados et al.
Word Embeding with Simple model, w2v, Simple RNN, LSTM
Lab exercises of Speech and Language Processing course in NTUA
Predicts an emoji based on a given tweet using various NLP models.
Named Entity Recognition with 92.5% of F1-Score, developed in Pytorch using PoS embeddings, Word2Vec
Сравнение нескольких способов представления слов для построения языковых моделей
2017 repository
Bunch of examples of a "Simple but tough to beat baseline for sentence embeddings" in classification tasks
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.
Client-side Javascript Word2Vec text model loader
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.
A tool for analyzing Google Play Store reviews
Graduation Project - Sentiment Mining
🥇 Решение трека Sberbank Online по классификации пользовательских отзывов о приложении Sberbank Online в AppStore и Google Play.
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