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Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
This repo aims to build a web app that supports speech recognition system :smiley: It's simple to use and understand :smile:
玩转图神经网络和知识图谱的相关算法:GCN,GAT,GAFM,GAAFM,GraphSage,W2V,TRANSe
Data and code for the experiments in the Outlier Detection task proposed by Camacho-Collados et al.
Lab exercises of Speech and Language Processing course in NTUA
Named Entity Recognition with 92.5% of F1-Score, developed in Pytorch using PoS embeddings, Word2Vec
Predicts an emoji based on a given tweet using various NLP models.
Сравнение нескольких способов представления слов для построения языковых моделей
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.
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.
Graduation Project - Sentiment Mining
A tool for analyzing Google Play Store reviews
🥇 Решение трека Sberbank Online по классификации пользовательских отзывов о приложении Sberbank Online в AppStore и Google Play.
Word Embeding with Simple model, w2v, Simple RNN, LSTM
Performing NLP on Amazon's review on sports and outdoor
Fake news detection in English and Vietnamese 📰❌
Designed the model predicting the Duplicacy of the Quora Questions Pair using Advanced Feature Extraction, tfidf weighted WordtoVec, Machine Learning Algorithms with Hyperparameter Tuning.
Natural Language Processing sentiment analysis
参考@yoonkim及其他仓库,完善CNN for Sentence Classification
Detection of misinformation of climate change using topic modeling (LDA) and Word Vectors
Google code of Word2Vec in Gutemberg books.
In this notebook everything is done from data preprocessing to encoding
Domain Adaptation of Google's pre-trained Word Vectors to mid-19th century English Literature text | COL772 (NLP) @ IIT Delhi