To turn it into a streetsmart, gangster teenage boy, we’d have to train it through machine learning. That night, we tested our bot with more than 30 subjects.
The results were logged in wit.ai, and we reviewed them the next morning.
A good alternative is Google’s api.ai, which we later found to have a more intuitive interface.
To ensure our bot was nag-proof, we considered interactions between a mother and her son, boiling them down to 12 major scenarios which you can see listed on the left panel as Stories. Well, not quite…The bot we set up was still an infant and wouldn’t be able to fend off requests from all the pesky mums out there. ) test our bot, so we set up a nifty website containing a text input.
In this white paper, we look at how chatbots can specifically be of assistance for the financial world – fintech and traditional banking companies alike.
Keeping context is the bot’s ability to remember and combine intents across several sentences in a conversation.Whenever the bot was unsure of what to say (its confidence level drops below a certain threshold), it provided the default response and logged the uncomprehended message in the to the uncomprehended messages, a process calls validation.Next time when the bots encounter a similar message, it will give the correct response.Well, yes, they’re intelligent “artificially”, but what does that mean?Specifically, they have the ability to understand human language and context, and respond accordingly, which leads us to natural language processing.