happyBot

Runs as Below in the Anaconda Environment/ Anaconda Prompt

Motivation

• ChatBots are the new AI tool and are getting a Lot of attention, some are used by *Slack *Twitter etc
• ChatBots involve good amount of Natural language processing to begin with
• We are making a Chat Bot called "HappyBot" that can react and predict sentences based on user input and which could be scalable for more functions per demand and bandwidth
• Currently we are using the NLTK module to do some of the processing
• Our Goal would be to make a highly interactive GUI based BOT that will interact with users and will learn from interactions and from the knowledge it gathers from the web/google/twitter/wikipedia etc .
• As our processing needs increase we will also think of making the project more scalable

APIs Used

• getProcess.py
  • These has the class parsecorpus has functions to process the corpus data provided as the input
  • clean1() - cleans the lines completely with only letters
  • tokenize() - tokenize the lines
  • ngram() - convert into n-grams
  • uniquewords() - gets the count and create a dictionary to get the positinons for creating the one hot vectors
  • vectorize() - gets the vectors for input and output , this is a generator function

• Skip-gram Model using jupyter Notebooks

Tools

• python, Jupyter Notebooks

Resources Used

Output

(C:\Users\sanan\Anaconda3) C:\Public\Code\happyBot>python main.py
Enter your greeting and I will respond !
Good Morning
No Comment


[['He', 'wasnt', 'home', 'alone', 'apparently']]
('time taken for filtering with filtersize = +0.000600', 20.661389134061913)