A Naive-Bayes-Classifier trained with subreviews from TripAdvisor to calculate a overall rating based on given subratings.

Before using the Application dependencies have to be installed. These can be installed with the following command over pip.

$ pip install -r requirements.txt

The Server can be started running the __init__.py file.

$ python __init__.py

The web interface can be accessed over the index.html file in the web_interface folder.

The training data can be pulled from http://times.cs.uiuc.edu/~wang296/Data/, have to be in json format and need to be in a json directory in the project root.

Now you can start the program with forced training by using the --ft flag like this:

$ python __init__.py --ft

• Matthias Herrmann (Naive Bayes Implementierung mit nltk)
• Sarah Kocher (Weboberfläche)
• Benedikt Strasser (RESTful Server)

MIT License

Attribution for the ratings data from tripadvisor:

Hongning Wang, Yue Lu and ChengXiang Zhai. Latent Aspect Rating Analysis without Aspect Keyword Supervision. The 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2011), P618-626, 2011. Hongning Wang, Yue Lu and Chengxiang Zhai. Latent Aspect Rating Analysis on Review Text Data: A Rating Regression Approach. The 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2010), p783-792, 2010.