A PyTorch implementation of "Graph Convolutional Networks for Text Classification." (AAAI 2019)
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Updated
Jun 27, 2020 - Python
A PyTorch implementation of "Graph Convolutional Networks for Text Classification." (AAAI 2019)
Twitter Dynamic Dataset Api. Create any dataset YOU want.
Node Embeddings in Dynamic Graphs
Temporal Walk Based Centrality Metric for Graph Streams
Different bangla datasets for sentiment analysis on bangla text
Reproduction material for "#Secim2023: First Public Dataset for Studying Turkish General Election"
Sentiment Analysis on Twitter Dataset
[NLP] Unsupervised User Stance Detection on Twitter.
Utility python package for RG17 and UO17 Twitter tennis data sets.
Elasticseach || Recuperación de información, de la Diplomatura en Ciencias de Datos, FaMAF.
Retrieve tweets from Twitter API with tweet ID
The files in this repo were used in the analysis for the paper Branching process descriptions of information cascades on Twitter.
Suicide Ideation Detection in Indonesian Language Twitter Posts Using IndoBERT and LSTM/CNN
User Profiling and Sentiment analysis of Twitter social network during the impeachment of Brazilian President
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
Classifying users on social media, using text embeddings from OpenAI and others
This project focuses on performing sentiment analysis on a Twitter dataset, categorizing tweets as positive, negative, or neutral.
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