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Final project in The course Big data in media technology in KTH 1st period 2017
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Classification
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TweetClassifier.app/Contents
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DA2210_Project_proposal.pdf
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__init__.py
__main__.py
cnn-weights-imporement-00-- 0.71.hdf5
cnn-weights-imporement-00-- 0.72.hdf5
cnn-weights-imporement-00-- 0.73.hdf5
cnn-weights-imporement-00-- 0.74.hdf5
ffnnFinal.hdf5
report.pdf
results.csv
tokenizerdict.json

README.md

Big-Data-Final

Final project for the course Big Data in Media Technology at KTH 1st period 2017

Sentimental analysis using 4 different classifiers (Naive Bayes classifier, SVM, Feed Forward Neural Networks and Convolutional Neural Networks). The datasets used were both the VADER dataset and 1.250.000 Amazon product reviews.

The project report can be found here.

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