Emojis To Train Emotion Classifiers
This repository is for our work on the use of emojis to train emotion classifiers for Arabic tweets. It contains the dataset and the lexicons we created.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Affectivetweets | 58 | 5 years ago | gpl-3.0 | Java | ||||||
| A WEKA package for analyzing emotion and sentiment of tweets. | ||||||||||
| Tweetment | 22 | 6 months ago | gpl-3.0 | Python | ||||||
| A sentiment classifier tool and library trained on Twitter data | ||||||||||
| Harassment Corpus | 12 | 6 years ago | ||||||||
| Harassment Lexicon and Corpus | ||||||||||
| Twitter Sentiment Mining | 11 | 9 years ago | ||||||||
| A project to mine sentiment from tweets using a bag of words approach. | ||||||||||
| Ensemble Learning For Tweet Classification Of Hate Speech And Offensive Language | 10 | 6 years ago | Python | |||||||
| Contains code for a voting classifier that is part of an ensemble learning model for tweet classification (which includes an LSTM, a bayesian model and a proximity model) and a system for weighted voting | ||||||||||
| Neural_emotion_intensity_prediction | 9 | 6 years ago | 1 | Jupyter Notebook | ||||||
| The code for our proposed neural models which give state-of-the-art performance for emotion intensity detection in tweets. | ||||||||||
| Identifying_tweets_with_adverse_drug_reactions | 7 | 6 years ago | 1 | Python | ||||||
| Identifying Tweets with Adverse Drug Reactions. | ||||||||||
| Tweet Disaster Keyphrase | 6 | 4 years ago | 1 | apache-2.0 | Python | |||||
| Official repository for "On Identifying Hashtags in Disaster Twitter Data" (AAAI 2020) | ||||||||||
| Emojis To Train Emotion Classifiers | 6 | a year ago | mit | |||||||
| This repository is for our work on the use of emojis to train emotion classifiers for Arabic tweets. It contains the dataset and the lexicons we created. | ||||||||||
| Sentiment Analysis By Combining Machine Learning And Lexicon Based Methods | 6 | 5 years ago | 1 | Python | ||||||
| This project is on twitter sentimental analysis by combining lexicon based and machine learning approaches. A supervised lexicon-based approach for extracting sentiments from tweets was implemented. Various supervised machine learning approaches were tested using scikit-learn libraries in python and implemented Decision Trees and Naive Bayes techniques. | ||||||||||
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