Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Overview And Benchmark Of Traditional And Deep Learning Models In Text Classification | 38 | 6 years ago | 5 | Jupyter Notebook | ||||||
NLP tutorial | ||||||||||
Whostweeting | 10 | 4 years ago | Jupyter Notebook | |||||||
Classification of tweets by Trump and Trudeau. | ||||||||||
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 | ||||||||||
Data Science Portfolio | 10 | 4 years ago | Jupyter Notebook | |||||||
Twitter Sentimental Analysis | 6 | a year ago | 1 | mit | Python | |||||
I have used Multinomial Naive Bayes, Random Trees Embedding, Random Forest Regressor, Random Forest Classifier, Multinomial Logistic Regression, Linear Support Vector Classifier, Linear Regression, Extra Tree Regressor, Extra Tree Classifier, Decision Tree Classifier, Binary Logistic Regression and calculated accuracy score, confusion matrix and ROC(Receiver Operating Characteristic) and AUC(Area Under Curve) and finally shown how they are classifying the tweet in positive and negative. | ||||||||||
Twitter_hate_speech_detection | 6 | 3 years ago | Jupyter Notebook | |||||||
Capstone project to automate Twitter hate speech detection with classification modeling. | ||||||||||
Sentiment Analysis Of Twitter Data Using Logistic Regression | 6 | 4 years ago | 3 | JavaScript | ||||||
Sentiment Analysis of Twitter Data Using Logistic Regression |