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.
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Updated
Nov 8, 2018 - Python
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.
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 how to use NLP for text feature engineering.
FBOW (Fast Bag of Words) is an extremmely optimized version of the DBow2/DBow3 libraries.
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 analysis, data analysis and data visualization
A fast, robust Python library to check for offensive language in strings.
🍊 📄 Text Mining add-on for Orange3
A modern IDE for writing classical Chinese poetry 格律诗编辑程序
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 in Python.
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).
Machine Learning documents
Hybrid Code Networks https://arxiv.org/abs/1702.03274
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
NLP tutorial
My works for EE 569 - Digital Image Processing - Spring 2018 - Graduate Coursework at USC - Dr. C.-C. Jay Kuo
Using Natural Language Processing, Data Visualizations and Classification Algorithms of Machine Learning
Train a model with data from Firestore, save it to Cloud Storage and make predictions in Cloud Functions - entirely using NodeJS
Simple NLP in Rust with Python bindings
A web app that classifies text as a spam or ham. I am using my own ML algorithm in the backend, Code to that can be found under machine_learning_section. For Live Demo: Checkout this link
NLP Functions for amplifying negations, managing elisions, creating ngrams, stems, phonetic codes to tokens and more.
Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.
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