GitHub - ROC-HCI/tedanalytics: Mining the TED Talks!

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 173 Commits
feature_extraction_codes		feature_extraction_codes
old		old
.gitignore		.gitignore
README		README
TED Talks as of 02.07.2017.csv		TED Talks as of 02.07.2017.csv
TED Talks as of 08.04.2017.csv		TED Talks as of 08.04.2017.csv
TED Talks as of 10.18.2017.csv		TED Talks as of 10.18.2017.csv
TED_data_location.py		TED_data_location.py
bluemix.py		bluemix.py
bluemix.sh		bluemix.sh
bluemix_key.py		bluemix_key.py
crawl_shell		crawl_shell
failed.txt		failed.txt
index.csv		index.csv
list_of_talks.py		list_of_talks.py
requirements.txt		requirements.txt
run_experiment_shell		run_experiment_shell
run_experiment_shell_LSTM		run_experiment_shell_LSTM
run_experiment_shell_LSTM_non_gpu		run_experiment_shell_LSTM_non_gpu
run_experiment_shell_reserved		run_experiment_shell_reserved
run_experiment_shell_reserved_LSTM		run_experiment_shell_reserved_LSTM
success.txt		success.txt
tag_list.txt		tag_list.txt
ted_talk_classical_experiments.py		ted_talk_classical_experiments.py
ted_talk_cluster_analysis.py		ted_talk_cluster_analysis.py
ted_talk_data_feeder.py		ted_talk_data_feeder.py
ted_talk_deep_learning_experiments.py		ted_talk_deep_learning_experiments.py
ted_talk_dependency.py		ted_talk_dependency.py
ted_talk_evaluate.py		ted_talk_evaluate.py
ted_talk_lexical_feature_processor.py		ted_talk_lexical_feature_processor.py
ted_talk_makeindex.py		ted_talk_makeindex.py
ted_talk_models.py		ted_talk_models.py
ted_talk_new_crawler.py		ted_talk_new_crawler.py
ted_talk_prediction.py		ted_talk_prediction.py
ted_talk_results.py		ted_talk_results.py
ted_talk_sentiment.py		ted_talk_sentiment.py
ted_talk_statistic.py		ted_talk_statistic.py
ted_talk_statistic_correlation.py		ted_talk_statistic_correlation.py
ted_talk_train.py		ted_talk_train.py
to_skip.txt		to_skip.txt

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TED Analytics Project

Overview
========
TBD

Contents
========
TBD

Setup Procedure
===============
If you want to install the code with your dataset (so that you can directly test the codes with your copy of the TED dataset),
you need to take the following steps: 
1) Modify the tedanalytics/TED_data_location.py file to put the dataset path (get the dataset from the following location:
dropbox. Use patial sync to include only the relevant folders. The total dataset is very large) 
2) Run ted_talk_makeindex.py file. This should go smoothly 
3) Run ted_talk_data_feeder.py. This should go smoothly 
4) Run ted_talk_statistic.py and ted_talk_statistic_correlation.py for checking the dataset statistics. This should match with the paper