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################ PROJECT 3 - Alternative ################ # From Class: CS 7637 - Knowledge-Based AI, Fall 2016 # Author: Yann RAVEL-SIBILLOT # Date started: 11/05/2016 (5 November 2016) # Final Report: https://mega.nz/#!E0VQiJpZ!n0ZlTV9GdxPkvTgz_Ya6QbQ_ERhTzqgyhRGZxRB2bug # Required: python 2.7 scikit-learn >0.18 nltk >3 slackclient # TODO before running the project: Set the PATH on variables.py where are located data # Architecture of file! # Launchable: main_knowledge.py : while create the knowledge needed to use the bot if MODE = 1 on the file, then create all the knowledge from scratch if MODE = 2 on the file, then load ideas and concept, and recreate models main.py: while launch every thing, the bot and the creation of knowledge, if the MODE = 1 on the file "main_knowledge.py" Models are saved on the folder Data\Models Concepts are saved on the folder Models # Other files slack.py: functions to launch, communicate with Slack, the main loop is defined here core_concept.py: definiton of the class Concept core_idea.py: definiton of the class Idea intelligence.py: functions to reason from the user's input sentence.py: functions to create sentence from ideas classifier_select.py: functions to load and save knowledge + predict and train classifiers util.py: functions to plot and save statistical data variables.py: most of global variables used # On the folder Knowledges: Knowledges\preprocessing.py: functions to filter, merge, read data from file text Knowledges\formatData.py: functions to prefilter the data # On the folder Data: gatech_wiki_clean_v3.csv: contains all the knowledge from Wikipedia Courses\*: contains all transcripts from the KBAI class
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