IPython Notebook for Sentiment Classification

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.

A collection of ipython/jupyter notebooks

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 is a course project for MIE1512. All the details of the project will be covered in the notebook itself.

This is a short notebook outlining the code used to scrape tweets related to the IC2S2 conference in Amsterdam.

A jupyter notebook (python) with the implementation of deep learning in sentiment analysis of tweets

A Jupyter Notebook that helps you import and parse DM's from a Twitter backup

Sentiment Analysis of Arabic and Persian Tweets Following the Assassination of Qasem Soleimani

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.

シェル芸botのツイートアーカイヴ

The complete code and notebooks used for the ACM Recommender Systems Challenge 2021 by our team Trial&Error at Politecnico di Milano

Twitter Realtime Sentiment Analysis Bot

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.

Use Twitter API to retrieve tweets of interest and analyze the sentiment of the tweets in this notebook

This project details the creation of a multi-classification Recurent Neural Network (RNN) model using Tensorflow / Keras to predict Tweet emotions. More specifically, this notebook uses a bidirectional LSTM as a means to capture additional semantics often found in sequential (language) data. This project utilizes the Tweet Emotion Recognition wi…

Collection of notebooks written while learning to work with the Twitter API

Notebooks for AnalyzingSpammers NODES2022 presentation

Notebook used to explore and classify 500,000 tweets about Elon Musk in an unsupervised manner.

Notebooks of the PuReGoMe Project of the Netherlands eScience Center and Utrecht University.