TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding (code & data)
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Updated
Mar 7, 2021 - Python
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.
Utility python package for RG17 and UO17 Twitter tennis data sets.
Twitter Sentiment Analysis
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.🐧
Analysing Twitter data to identify urban issues
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.
R code, markdown document, and Gephi files used to create a social network analysis project examining three information operations removed from Twitter in 2021.
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.
In this project, I have explored the world of tweet analysis in the case of two European universities: University of Tartu and Lund University.
Twitter Semantic Data Mining for Harvey Hurricane Credible Event Detection
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