| felipebravom/AffectiveTweets |
58 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
gpl-3.0 |
Java |
| A WEKA package for analyzing emotion and sentiment of tweets. |
| ntietz/tweetment |
22 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| A sentiment classifier tool and library trained on Twitter data |
| Mrezvan94/Harassment-Corpus |
12 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
|
| Harassment Lexicon and Corpus |
| woodrad/Twitter-Sentiment-Mining |
11 |
|
0 |
0 |
over 11 years ago |
0 |
|
0 |
|
|
| A project to mine sentiment from tweets using a bag of words approach. |
| thefirebanks/Ensemble-Learning-for-Tweet-Classification-of-Hate-Speech-and-Offensive-Language |
10 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
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 |
| Pranav-Goel/Neural_Emotion_Intensity_Prediction |
9 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| The code for our proposed neural models which give state-of-the-art performance for emotion intensity detection in tweets. |
| gaoxiangyu369/Identifying_Tweets_with_Adverse_Drug_Reactions |
7 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Python |
| Identifying Tweets with Adverse Drug Reactions. |
| malayyoub/emojis-to-train-emotion-classifiers |
6 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
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. |
| rsher60/Sentiment-Analysis-by-combining-Machine-Learning-and-Lexicon-Based-methods |
6 |
|
0 |
0 |
over 7 years ago |
0 |
|
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. |
| JRC1995/Tweet-Disaster-Keyphrase |
6 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| Official repository for "On Identifying Hashtags in Disaster Twitter Data" (AAAI 2020) |
