Experiential Value dictionary

The dataset contains two folder one folder corresponds to augmented reality experiential value dictionary and the other folder corresponds to tourism experiential value dictionary.
In each folder we have following sub-folders:1.OnlineReviews: The folder that contains the review data that is used to build the construct-specific dictionary2.RDictinaryFinal: The raw dictionary created from Roget’s Thesaurus without any transformation scores3.SignificantTest.py: Python script to perform t-test on holdout data4.HoldoutConstructWordScores: The folder containing the actual and estimated ratings of holdout data5.FinalSDTABDOutput: The final dictionary along with the transformation parameters6.Tweets: The twitter dataset used to measure the experiential value from developed dictionary7.Twitter ratings: The experiential value scores derived from twitter dataset and developed experiential value dictionary
To run the t-test:1.Install python 3.x in your machine. 2.Install the python libraries xlrd, xlwt, scipy, sklearn and math 3.Place the HoldoutConstructWordScores and SignificantTest.py in a folder4.Open python shell in the folder containing the HoldoutConstructWordScores and SignificanceTest.py files5.Run the test using command - python SignificantTest.py