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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.
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 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 application for the presidential elections Ecuador 2021 using Twitter API. Also a text classification model with SVM, Naive Bayes and Random Fores made in python notebook. University of Cuenca Text Mining course 🎓
I used Twitter's API and the tweepy module in Python to collect tweets about train delays from @CalTrain and @CaltrainAlerts on Twitter. I spent most of my energy cleaning the tweets for analysis. I documented my process in two different Jupyter Notebooks.
The Sentiment analysis Attitude towards Covid-19 Vaccines in Africa Using Twitter data. All hackathon notebooks of the BIG DATA 2021 - Event held at TUK, sponsored by DARA Big Data, OAD and IDIA.
This project focused on wrangling data from the WeRateDogs Twitter account using Python, documented in a Jupyter Notebook (wrangle_act.ipynb). This Twitter account rates dogs with humorous commentary. The rating denominator is usually 10, however, the numerators are usually greater than 10. They’re Good Dogs Brent wrangle WeRateDogs Twitter data…