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SentimentAnalyzer

Created by Anna Yang, Jenny Yang, and Ayush Raj for Ignition Hacks 2020

Submission is in submission.csv. submissions.zip is a compressed zip file of an older version of our submission.

Our final notebook is finalnotebook.ipynb. We pre-processed the data by cleaning punctuation, capital letters, lemmatizing, and both tokenizing and creating 2-word phrases for each tweet that we would use as features, as shown in preprocessing.ipynb. Then, we normalized the data and then implemented an ANN and Logistic Regression on the training data. We then created predictions for the contestant_judgement.csv file and put that in submissions.csv. model.ipynb also contains code for the model and classification.

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ML Algorithm to detect positive or negative sentiment, by: Anna Yang, Jenny Yang, and Ayush Raj

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