Text Analytics Jupyter Notebook example for the Azure cognitive service

NLP notebooks

Jupyter Notebooks for Data Exploit 🙂

Jupyter and Zeppelin notebooks that use the Text Analytics Pipeline (TAP)

Notebook criado exclusivamente para aprendizado e está sendo atualizado.

This repo contains Report/Code/Notebooks of some of my projects

Nasjonalbiblioteket har utviklet et API (Application Programming Interface) mot tekstene i NB Digital (bøker og aviser) og en funksjonalitet for bruk av API-et i Jupyter Notebook som kan benyttes av forskere.

This Python Notebook creates word clouds using text information from the two users whatsapp chat

Notebooks about text processing. Study cases and other playeable code just to explore some interesting facts about text processing.

A python notebook for processing and analysing any Whatsapp chat log.

A list of notebooks where I am learning natural language processing by analyzing the Democratic Debates from July 2019. It is my first time learning the tools and methods of NLP.

Text Analytics Jupyter Notebook example for the Azure cognitive service

Text Analytics Jupyter Notebook example for the Azure cognitive service

Text Analytics Jupyter Notebook example for the Azure cognitive service

This repository contains a single notebook, notebook.ipynb, which analyzes the ability of three machine learning algoithms — Multinomial Naive Bayes, Logistic Regression, and Support Vector Machine — to determine whether customer reviews of the Disneyland amusement park in California are positive or negative.

Notebooks, codes, dataset and documentation for the class on Affective Computing given by Prof. Paula in Unicamp at 2018.

Project "Text Mining Female Masculinity in Sixteenth and Seventeenth-Century Britain" and other coursework from McGill Literary Text Mining graduate seminar. Uses Python, Jupyter Notebooks.

Here I have provided some common algorithms used in big data, I've attached an HTML(Python), Python Notebook and R project for each demonstration

A comprehensive collection of materials for learning and applying Natural Language Processing (NLP), including lecture slides, Jupyter notebooks, and examples. Perfect for beginners and advanced practitioners in data science.