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.

Sentiment Analysis on Twitter Dataset

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

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

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

‘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 sequence to sequence NLP model made by custom training Spacy's NER pipeline

This project focuses on performing sentiment analysis on a Twitter dataset, categorizing tweets as positive, negative, or neutral.