GitHub / labrijisaad / Twitter-Sentiment-Analysis-with-Python

I aim in this project to analyze the sentiment of tweets provided from the Sentiment140 dataset by developing a machine learning sentiment analysis model involving the use of classifiers. The performance of these classifiers is then evaluated using accuracy and F1 scores.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/labrijisaad%2FTwitter-Sentiment-Analysis-with-Python

Topics: accuracy-score, bernoulli-naive-bayes, confusion-matrix, f1-score, lemmatization, logistic-regression, machine-learning, nlp, roc-auc-curve, sentiment-analysis, sentiment140-dataset, stemming, support-vector-machine, tokenization, twitter-sentiment-analysis

• Files
• Readme
• Dependencies