amazonReview

We put all the codes and results related to the paper here.

Added model 1 (1 layer GRU)... it is complete

Added batch train for GRU...

Modified batch train to prevent memory error

Detecting gender from user name --- use gender-guesser.ipynb

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.idea		.idea
models		models
Amazon_Preliminary_Analysis.ipynb		Amazon_Preliminary_Analysis.ipynb
DatasetStats.ipynb		DatasetStats.ipynb
Gender_predictor_survey.ipynb		Gender_predictor_survey.ipynb
Inference_undisclosed_disclosed.ipynb		Inference_undisclosed_disclosed.ipynb
LogReg_Amazon.ipynb		LogReg_Amazon.ipynb
NaturalExptCategory.ipynb		NaturalExptCategory.ipynb
README.md		README.md
ReadproductData .ipynb		ReadproductData .ipynb
SentimentReadabilityLengthCal.ipynb		SentimentReadabilityLengthCal.ipynb
XGB_Amazon.ipynb		XGB_Amazon.ipynb
amazon_gender_stats.ipynb		amazon_gender_stats.ipynb
fleiss_kappa_measure.ipynb		fleiss_kappa_measure.ipynb
format_json.py		format_json.py
gender-guesser.ipynb		gender-guesser.ipynb
get_gender.py		get_gender.py
get_gender_mod.py		get_gender_mod.py
sentimentLengthReadabilityPlots.ipynb		sentimentLengthReadabilityPlots.ipynb

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