A collection of ipython/jupyter notebooks
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Updated
Jan 31, 2019 - Jupyter Notebook
Twitter is an online news and social networking service where users post and interact with messages, known as “Tweets.” These messages were originally restricted to 140 characters, but in November 2017, the limit was doubled to 280 characters for all languages except Japanese, Korean, and Chinese.
A collection of ipython/jupyter notebooks
IPython Notebook for Sentiment Classification
Notebook used to explore and classify 500,000 tweets about Elon Musk in an unsupervised manner.
Easy to use web form built on top of the Twitter v2 API. Allows users to collect and merge all data (including fields and expansions). Jupyter notebook provided to combine data into one CSV or Excel file.
A Jupyter Notebook that helps you import and parse DM's from a Twitter backup
Use Twitter API to retrieve tweets of interest and analyze the sentiment of the tweets in this notebook
Notebooks for AnalyzingSpammers NODES2022 presentation
A jupyter notebook (python) with the implementation of deep learning in sentiment analysis of tweets
This is a course project for MIE1512. All the details of the project will be covered in the notebook itself.
Collection of notebooks written while learning to work with the Twitter API
This repository contains the steps to install Apache Spark, and run an application that consumes the twitter's real-time stream, performs transformations on the data and displays them on a real-time dashboard in Jupyter Notebook.
This is a short notebook outlining the code used to scrape tweets related to the IC2S2 conference in Amsterdam.
This repository contains a Python notebook to reproduce the training of a COVID-19 "fake news" classifier on Tweets. More importantly, it provides an explanation interface meant to explain the predictions of the classifier as means of Explainable AI.
Wrangling and analysis of Tweets from WeRateDogs (@dogrates) with Python in Jupyter Notebook. Project focuses on gathering, assessing and cleaning data. Various methods, including Python's Requests and Tweepy packages for performing a GET Request and querying Twitter API, were used to collect Tweets and relevant data available online.
This repository explains the code for collecting the data from Twitter API. The code is saved in Jupiter notebooks, follow the guideline in the README file.
Sentiment Analysis of Arabic and Persian Tweets Following the Assassination of Qasem Soleimani
Created by Jack Dorsey, Noah Glass, Biz Stone, Evan Williams
Released March 21, 2006