A PyTorch implementation of "Graph Convolutional Networks for Text Classification." (AAAI 2019)

Node Embeddings in Dynamic Graphs

Reproduction material for "#Secim2023: First Public Dataset for Studying Turkish General Election"

Twitter Dynamic Dataset Api. Create any dataset YOU want.

[NLP] Unsupervised User Stance Detection on Twitter.

Temporal Walk Based Centrality Metric for Graph Streams

Different bangla datasets for sentiment analysis on bangla text

Retrieve tweets from Twitter API with tweet ID

User Profiling and Sentiment analysis of Twitter social network during the impeachment of Brazilian President

Classifying users on social media, using text embeddings from OpenAI and others

The files in this repo were used in the analysis for the paper Branching process descriptions of information cascades on Twitter.

Utility python package for RG17 and UO17 Twitter tennis data sets.

A Farsi (Persian) Semantic Similarity Measurement Dataset (FarSSiM)

Sentiment Analysis on Twitter Dataset

Suicide Ideation Detection in Indonesian Language Twitter Posts Using IndoBERT and LSTM/CNN

This research uses Twitter data to develop a content analysis model, evaluating multiple machine learning models and interpreting the best one with LIME. A bi-directional LSTM with word2vec embeddings will also be applied, with performance compared against traditional ML models.

A collection of multiple social media dataset samples. Each sample contains over 1,000 records. These datasets are ideal for brand awareness, consumer sentiment analysis, and for tracking social media presence

‘Tweet Corrector​’ automatically removes noise, redundant information and corrects wrong spellings in the tweets. Twitter Data was used to train the model

Exploring the Australian Energy generation data set and the twitter data set using Python

A dataset of top 50 hourly trends on Polish Twitter, loaded from getdaytrends.com