There are 5 repositories under twitter-data-analysis topic.
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding (code & data)
Node Embeddings in Dynamic Graphs
Collect and process real time twitter data plotting various metrics like volume , proportion, sentiment. Analyze tweet node networks and map them geographically.
Temporal Walk Based Centrality Metric for Graph Streams
A gathering of digital methods recipes for research, teaching and collaborations from across the Public Data Lab.
Build a classifier to classify anti-national tweets from normal tweets based on the Khalistan movement.
Finding similarity index of a community in the twitter network using multiple views through inter-graph random walk kernel (IRWK).
🔍 This project is about searching the twitter for Soccer Prediction using popular keywords and applying sentiment analysis on the data.
twitter scrapper to scarpe the tweets of a particular word and save them in a csv file
Codes and data necessary to reproduce the results of the article K. Shyrokykh, M. Girnyk and L. Dellmuth, "Short Text Classification with Machine Learning in the Social Sciences: The Case of Climate Change on Twitter," submitted.
Analysing Twitter data to identify urban issues
Utility python package for RG17 and UO17 Twitter tennis data sets.
A repository with Twitter data and tweet classifiers using several machine learning approaches to measure the accuracy and performance of the approaches on classifying tweets.🐧
Twitter Sentiment Analysis
A Bidirectional LSTM model to classify whether a given tweet talks about a real disaster or not. This was my project in "CSC 522: Automated Learning and Data Analysis" course at NC State University.
R code, markdown document, and Gephi files used to create a social network analysis project examining three information operations removed from Twitter in 2021.
Under the broad research question: What are the impact of COVID-19 in ones life? Our team collected Twitter data to answer research hypothesis, producing models, and have a better understanding of the factors that influence one's reaction to the global pandemic.
Twitter Semantic Data Mining for Harvey Hurricane Credible Event Detection
In this project, I have explored the world of tweet analysis in the case of two European universities: University of Tartu and Lund University.
Explore your Twitter activity with R: Sentiment Analysis and Data Visualization. How to analyze your Twitter account (or any account), discover your habits and sentiments with the "rtweet" package and NLP.
R code and markdown documents used to create a data analytics project examining three information operations removed from Twitter in 2021.
Sentiment analysis based on twitter tweets.
PyTweetToolkit: An intuitive Python library for managing Twitter interactions, providing tools for posting tweets, engaging with users, and analyzing social media metrics. Perfect for automating tasks and integrating Twitter functionality into Python projects.
This repository is part of the tutorial "Learn to rehydrate Twitter data using Python: case #hellobrother" published under SAGE Research Methods collection on Doing Research Online and its subcollection Datasets.
Script used in the Social Network Analysis course (Parking behavior Analysis, Project 12)
Project aimed to analyze the opinion(sentiment) of people by performing sentiment analysis on tweets by Twitter users on the topic of Climate Change.
Tweet similarity ranking using Cosine Similarity with TF-IDF vector and BoW vector.
Aplicação em Python e MongoDB que varre um dump para comprovar a hipótese de qual conto entre 5, do autor H.P. Lovecraft, é o mais mencionado na rede social Twitter.
Getting started with Twitter data analysis.
Exploring #elxn43 Twitter data