Companion code for Awe the Audience: How Emotional Trajectories Affect Audience Perception in Public Speaking Installation Instruction ======================== 1. For python distribution, you can install anaconda or miniconda (a mini version of anaconda) https://conda.io/docs/user-guide/install/index.html 2. Install the requirements: pip install -r requirements.txt 3. Install IBM Watson Developer Cloud to extract the tone (Emotion, Language, Personality) scores: pip install --upgrade watson-developer-cloud For more instructions/help, you may visit: https://pypi.python.org/pypi/watson-developer-cloud 4. (Optional) If you want to extract the IBM scores yourself, you need to create an account for IBM Watson tone analyzer service (Even a free account will work): https://www.ibm.com/watson/services/tone-analyzer/ Then, edit the bluemix_key.py file and put the credentials (username and password) provided in the service key. Please note that this credentials are different than your account login username and password. Please Note: We provided the TED talk transcripts and the IBM scores within the repository (please check the talks folder and the bluemix_sentiment folder. The data is stored in pickle format. To unpickle and to see the data, use the pickle library in python: https://docs.python.org/2/library/pickle.html) Usage ===== cd tedanalytics python ted_talk_experiments.py Documentation ============= All the codes are documented inline