Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
-
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)
Bunch of examples of a "Simple but tough to beat baseline for sentence embeddings" in classification tasks
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.
This repo aims to build a web app that supports speech recognition system 😃 It's simple to use and understand 😄
Predicts an emoji based on a given tweet using various NLP models.
Сравнение нескольких способов представления слов для построения языковых моделей
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.
参考@yoonkim及其他仓库,完善CNN for Sentence Classification
Data and code for the experiments in the Outlier Detection task proposed by Camacho-Collados et al.
Named Entity Recognition with 92.5% of F1-Score, developed in Pytorch using PoS embeddings, Word2Vec
Lab exercises of Speech and Language Processing course in NTUA
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
2017 repository
In this notebook everything is done from data preprocessing to encoding
Add a description, image, and links to the w2v topic page so that developers can more easily learn about it.
To associate your repository with the w2v topic, visit your repo's landing page and select "manage topics."