Ungreedy subword tokenizer and vocabulary trainer for Python, Go & Javascript
Javascript port of HappyFunTokenizer.py by Christopher Potts and HappierFunTokenizing.py by H. Andrew Schwartz
I use various techniques for analyzing the Stanford Congressional Records. Specifically, we will be looking at
Implementation of Natural Language Processing Concepts like Bagofwords, Tokenizing, Stemming and Lemmatization using Python.
Empowering you to create your own parser.
In this work, I trained a Long Short Term Memory (LSTM) network to detect fake news from a given news corpus. This project could be practically used by media companies to automatically predict whether the circulating news is fake or not. The process could be done automatically without having humans manually review thousands of news-related artic…
A Java project that tokenizes all words in a documentary
Galago related homeworks of Information Retrieval Course
Compiler for the Jack language, as part of the Nand to Tetris courses
Spam Email Detection using Natural Language Processing📨
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