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TwitterRelevanceClassification

Abstract

Twitter provides a platform for human expression and discussion. The creation of a NLP classification model may be able to categorize the relevance of tweets. We developed multiple classification models, including a Neural Network, Logistic Regression, and Naive Bayes Classifier. Cross-validation of the model brought us over 80% accuracy on test data.

Data

Original dataset from kaggle. Preprocessed CSVs and only used columns with the actual tweets and the label.

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