nlp-machine-learning
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
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Jul 9, 2017 - Python
Penn ESE 305 Final Project using Machine Learning Techniques
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Dec 11, 2017 - Jupyter Notebook
Standard classroom exercises | Updated weekly
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This Repository contains tutorials for Natural Language Processing, Machine Leaning, Ontology Creation, Querying Ontology using DL-Query, Implementing Question and Answering System
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NLP Project to analyze hotel reviews using Naive Bayes model
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This repository contains spam classifier for messages, Emails etc. implemented using : nltk , scikit-learn, pandas
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Feb 20, 2018 - Jupyter Notebook
Universal Annotator for ML
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Predicting the next word using Katz Backoff
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Project for NLP class
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Natural Language Processing, Text Mining and Information Retrieval.
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Using distinct Natural Language Processing (NLP) approaches for the extraction of features relating to diet and physical activity, and understanding their temporal and spatial variation in the US.
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Dec 17, 2018 - Jupyter Notebook
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Jan 11, 2019 - Jupyter Notebook
Created by Alan Turing
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