A fast, robust Python library to check for offensive language in strings.
FBOW (Fast Bag of Words) is an extremmely optimized version of the DBow2/DBow3 libraries.
#自然语言处理#A modern IDE for writing classical Chinese poetry 格律诗编辑程序
#自然语言处理#It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text a...
#自然语言处理#This repository consists of a complete guide on natural language processing (NLP) in Python where we'll learn various techniques for implementing NLP including parsing & text processing and understand...
#自然语言处理#This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.
#自然语言处理#Simple NLP in Rust with Python bindings
🍊 📄 Text Mining add-on for Orange3
#自然语言处理#NLP Functions for amplifying negations, managing elisions, creating ngrams, stems, phonetic codes to tokens and more.
#自然语言处理#This Python module can be used to obtain antonyms, synonyms, hypernyms, hyponyms, homophones and definitions.
Hybrid Code Networks https://arxiv.org/abs/1702.03274
#自然语言处理#This Repository Contains Solution to the Assignments of the Natural Language Processing Specialization from Deeplearning.ai on Coursera Taught by Younes Bensouda Mourri, Łukasz Kaiser, Eddy Shyu
Bag of visual words (BOVW) is commonly used in image classification. Its concept is adapted from information retrieval and NLP’s bag of words (BOW).
#计算机科学#My works for EE 569 - Digital Image Processing - Spring 2018 - Graduate Coursework at USC - Dr. C.-C. Jay Kuo
Train a model with data from Firestore, save it to Cloud Storage and make predictions in Cloud Functions - entirely using NodeJS
D-Lab's 9 hour introduction to text analysis with Python. Learn how to perform bag-of-words, sentiment analysis, topic modeling, word embeddings, and more, using scikit-learn, NLTK, gensim, and spaCy ...
Solve classical computer vision topic, image recognition, with simplest method, tiny images and KNN(K Nearest Neighbor) classification, and then move forward to the state-of-the-art techniques, bags o...
BERT 기반의 문맥을 반영한 한국어 토픽 모델링 (BERT Contextualized Topic Models)
Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.