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.<br>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<br>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<br>