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Showing posts from July, 2018

New Objectives with AI and integration of Blockchain Technology

Artificial intelligence and Blockchain technology are hottest two topics in computer science flied nowadays. However they are both different components of computer science field and they both sub-serve for different purposes in other word to say they are both solving different problems. Although, there are many problems that we might know or not, these two technologies can help us to solve it.  At this point, we need to look for list of problems and solutions and study whether both can be applied into same architecture or not. Therefore problem has to be clearly understood and re-structured. At most asking questions is profoundly important,  such as what do know? what do we need? what are the sub-problems ? what type of methods that need to apply to get what we want? These pre-steps would help us to observe and comprehend the problem, hence we can create our own concept to approach to problematic. Later it would be easier to pl...

NLTK - Conversations

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Statement and Response Relationship : Grace stores information from the conversations as statements. Each user's input ( statement ) get tagged with any number ( please see the : NLTK Tagging methods ) and mapped to possible responses. Therefore each statement object has a reference, which links the user's input to a number of other input statements. The response object has counter which looks for the  terms of frequency ( please see the : TF-IDF Algorithm  you can also visit  grace search engine TF-IDF implementation/ Ranking section   )  this attribute indicates the number of times that statement has been given to response. This makes it possible for the bot to determine if a particular  response is more commonly used than another.