For my graduation project I have to do research about defining the efficiency of our chatbot.
The chatbot asks the user to login before starting to chat to the bot. The way that the efficiency is defined at the moment is by deviding the answered questions by the total number of asked questions.
Now our main customer is complaining that the question about the login are also taken in consideration with the efficiency of the chatbot.
I was wondering if someone how to handle this. Is it correct to add the login questions to the efficiency or should is be taken out of consideration or weigh less heavy on the efficiency?
An example of a conversation
I think it should not be considered.
Because it is a key phase where the chat bot start to interact with the user. What is the function of chat bot? -- it is to have a conversation with the users.
Suppose i will call you on the phone and say hello to start a conversation, will you consider hello as a conversation. it is just a phase or trigger to start conversation.
(This is just my opinion )
conclusion, it is just a lamp rubbing action for genie to come out of the lamp. so do not consider the login phase/questions.
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I am doing some research on potential options for building a chatbot. I am currently evaluating amazon Lex. The requirements for the bot are quite simple, a user can ask where to find something, the bot will tell them where in a document they will find the answer. All of these questions and answers have already been captured manually so we can easily have an excel sheet with question and answer.
Is there some way to input these pre-defined questions and responses into Lex? From my research I am having a hard time finding any info on something this basic. It won't really require any back and forth between the user and bot, (for ex. User: 'I need to order flowers' Bot: 'What kind of flowers?" etc.)
I have seen some info on incorporating Kendra, but I don't think the requirement is sophisticated enough to warrant using it
Ideally I would love to just hardcode it and say this is a question, and this is the response that should be given. Maybe this use case does not need something as powerful as Lex?
Lex can solve your problem at a fraction of the cost of Kendra.
Having said that, Kendra would be easier to work with when compared to Lex.
If you're got some Python capabilities I would recommend you take a look at the ExcelLexBot repo on GitHub. It is a Serverless Application that reads input from an Excel spreadsheet to build up a basic Lex bot for you.
I am currently making a Watson Assistant in which I need to store data collected in a database. I am trying to do this by calling an endpoint I have created that will insert data into my database, however I do not know how I can use webhooks in my action skills.
The documentation has an overview of where and how webhooks are supported by Watson Assistant. Action skills only offer pre / post message hooks. When you compare an Action skill with a Dialog skill, Action skills are simpler to get started with, but Dialog skills offer all the features. What you are looking for is available for dialog nodes in Dialog skills.
Actions Skill is still quite new compared to Dialog Skill, and we have a lot of really exciting plans for Actions that will be coming out over time. The ability to call out to external systems is being totally revamped, at least compared to Dialog/webhooks, to be much easier to use and scale across your business. It's one of our top priorities for the future but will take some time to release. I can't give a date now but if you need this for your production assistant, as data_henrik said we recommend you use the Dialog skill
I am currently working to build an IBM Watson chatbot and I am running into 2 issues.
Overview: I am building a chatbot that asks questions about the user so the bot can then spit out a "decision" or solution based on how the user answers the questions. Ex. Q1:A Q2:B Q3:D Q4:A CHat bot would spit out the responsibilities associated with collecting A,B,D,A. ABDA = Outcome 5 (out of 16)
Problem 1: Two of my questions lead to the user to input a number as their response. (asking for age and another question asks for years of experience) I do not know how to get Watson to know the difference between them without asking/prompting the user to add "years old" or "years Exp". Has anyone ran into issues of Watson not being able to handle numbers through multiple questions.
Problem 2: Anyone have any suggestions on how to get watson to digest all the questions asked then spit out the correct outcome?
I have the following use case:
The user starts a chat and selects options (something like a tree), in some cases an administrator can enter the chat and give a response.
My question is: are chatbot systems useful in this case?
I have no experience in chatbot but all the examples that I find on the internet are about NLP.
I appreciate if you can recommend an open source library
I think Dialogflow is a pretty good one to create chatbots. It is free and using custom payloads (tree with options, buttons, chips, etc.). You can make them say some repeated stuff. You would have to type instead.
I have a video where I create a simple chatbot that can take data stored in google sheets and send that details to a user if he asks for the details. If you are interested, please check it out!
Also, here is the Dialogflow console link.
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For a while now I have been trying to see if I can get a Whatsapp bot running, in a similar fashion to how Telegram bots work.
I found quite some ambiguous sources or half baked projects that are supposed to be provide Whatsapp bot functionality, but in fact nothing seems to be actually working.
To my knowledge, Whatsapp (unlike Telegram) does not have a public API or openly documented protocol. Does anyone know if it is even possible at all to "automate" communication through Whatsapp, as in send and receive messages, and how? Or would anyone have any good leading points to start developing one myself?
[ https://umstechlabs.com/ai-chatbot/]
The terms WhatsApp Chatbots, WhatsApp Bot, Messenger Bot, and Chatbot have one thing in common — they are all ways to refer to a Bot. Wikipedia provides a great definition for bots: “A Chatterbot, Chatbot, or simply Bot is a text-based dialogue system, which allows you to chat with a technical system.
Bots are everywhere and businesses are changing towards micro apps and cognitive bots for B2B andB2C. There are a few libraries to make your own WhatsApp Bot. A small python framework to create a whatsapp bot, with regex-callback. WhatsApp bot: Send message to a large list of numbers using whatsapp web.
Whatsapp bot without coding. With Xenioo you can create your bot Visually, boost it with AI and Integrations.
try AutoResponder for WA by TK Studio
https://play.google.com/store/apps/details?id=tkstudio.autoresponderforwa&hl=en
it can make conversations using DialogFlow which is support Webhook, and Webhook will send the message to a URL via POST, and from there you can save the message or specific variable to the database and respond it back to DialogFlow.
or you just use the AutoResponder for simple conversations.
Well, when it comes to comparing Whatsapp(chat)bots to Telegram bots there is a huge gap of availability, in the terms of that Telegram is open source and there is an endless count of varied bots of choice made by the community, aside from whatsapp bots mainly developed by official or affiliated companies of whatsapp.
So I haven't found anthing yet more useful bot other than different tastes of chatbots, auto replyers and message schedulers.
At the other side, some Telegram bots are capable of sending specific web searches within the chat, news feeds, reminders, games (and not mentioning the useful bots for groups) etc.
I have been doing some research on this topic lately and there actually are ways you can bridge Telegram messages to Whatsapp.
If you might be interested I found 2 ways of doing this (there may be more); bridging by code with Matterbridge or going the easy way with thirs-party API and automation services. Dropped some links below.
shorturl.at/klFR7
shorturl.at/loBEF
Haven't done it myself so not sure if bot functionality may be affected on chat at the other end though.