Thursday, February 25Digital Marketing Journals

machine-learning

5 Reasons to Leverage Chatbots for Real Estate in 2021 | by Adimen | Feb, 2021
ai, ai bot, ai chat, ai chatbot, artificial-intelligence, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, chatbots, conversation with ai, creating chatbots, machine-learning, real-estate, robot chat

5 Reasons to Leverage Chatbots for Real Estate in 2021 | by Adimen | Feb, 2021

No matter whether you are surfing online as a business user or a consumer, you’ll most likely run across customer-friendly AI-driven bots that support smooth communication. Here, in this article we’ll have a closer look at some intriguing points you may find useful. Although some concepts need more profound consideration, the article will be a good piece to start with.This said, the key notions that open up the Chatbots topic are the following:What are the chatbots?Are chatbots still popular in 2021?How can chatbots help business, namely real estate?With these ideas in mind, let’s get started.Chatbots can be defined as software programs built to ensure meaningful interaction between human users and computers via messaging, texts, live voice or video conversation. Interestingly, GoodFirm...
Hands-on for Toxicity Classification and minimization of unintended bias for Comments using classical machine learning models | by Anurag Maji
ai bot, ai chat, ai chatbot, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, classification-algorithms, conversation with ai, creating chatbots, eda, kaggle-competition, machine-learning, nlp, robot chat

Hands-on for Toxicity Classification and minimization of unintended bias for Comments using classical machine learning models | by Anurag Maji

In this blog, I will try to explain a Toxicity polarity problem solution implementation for text i.e. basically a text-based binary classification machine learning problem for which I will try to implement some classical machine learning and deep learning models.For this activity, I am trying to implement a problem from Kaggle competition: “Jigsaw Unintended Bias in Toxicity Classification”.In this problem along with toxicity classification, we have to minimize the unintended bias (which I will explain briefly in the initial section).sourceBackground:This problem was posted by the Conversation AI team (Research Institution) in Kaggle competition.This problem’s main focus is to identify the toxicity in an online conversation where toxicity is defined as anything rude, disrespectful, or o...
What would you ask the Machine Learning model? | by Michał Kuźba
ai, ai bot, ai chat, ai chatbot, artificial-intelligence, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, chatbots, conversation with ai, creating chatbots, explainable-ai, machine-learning, robot chat

What would you ask the Machine Learning model? | by Michał Kuźba

So, what people ask about?They say Gentlemen do not read each other’s mail. I’m very sorry drAnt — we make an exception this time. We shared xaibot in this post and collected over 1000 human-model conversations.There are certain repeating patterns in user queries. Here are the most frequent:why — general explanation queries, such as ”why”,”explain it to me”, ”how was that derived/calculated”.what-if — alternative scenario queries. Frequent exam-ples: what if I’m older, what if I travelled in the 1stclass.what do you know about medata-related questions — e.g. feature histogram, distribution, dataset sizelocal feature importance — How does age influence mysurvival, What makes me more likely to surviveglobal feature importance — How does age influence sur-vival across all passengershow to ...
How intelligent and automated conversational systems are driving B2C revenue and growth. | by Ori | Jan, 2021
best chatbot, bots, chatbot, chatbot app, chatbot messenger, chatbot online, chatbot website, chatbots, conversational-ui, creating chatbots, facebook bot, facebook chatbot, facebook messenger bot, google chat bots, machine-learning, Marketing, robot chat

How intelligent and automated conversational systems are driving B2C revenue and growth. | by Ori | Jan, 2021

And how your business can tap into this potential 10X revenue multiplier.Accelerate Sales, Retention, Customer Loyalty through Conversations.If you thought it was just about chatbots and cognitive virtual assistants, you’ve been holding off a potentially 10X revenue multiplier under the hood.Read on to know more about how conversational marketing can massively accelerate your automated conversions.So, what is conversational marketing?Photo by Headway on UnsplashConversational marketing is the art of giving your users the information they need to buy your product, as relevant and crisp answers to all the questions they may already have about your product. When executed well, conversational marketing has been known to deliver upwards of 100% revenue growth from digital channels, making it...
Natural Language Principles. Natural Language Processing (NLP) | by Sangramsing Kayte | Dec, 2020
ai, ai bot, ai chat, ai chatbot, artificial-intelligence, best chatbot, bots, chatbot, chatbot ai, chatbot app, chatbot messenger, chatbot online, chatbot website, conversation with ai, creating chatbots, facebook bot, facebook chatbot, facebook messenger bot, machine-learning, nlp, robot chat

Natural Language Principles. Natural Language Processing (NLP) | by Sangramsing Kayte | Dec, 2020

Natural language processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret and manipulate human language. NLP draws from many disciplines, including computer science and computational linguistics, in its pursuit to fill the gap between human communication and computer understanding.Evolution of natural language processingWhile natural language processing isn’t a new science, the technology is rapidly advancing thanks to an increased interest in human-to-machine communications, plus an availability of big data, powerful computing and enhanced algorithms.As a human, you may speak and write in English, Spanish or Chinese. But a computer’s native language — known as machine code or machine language — is largely incomprehensible to most people. At you...
Our Future to 5 Levels of AI. I wanted to give some insight into what… | by Brynn Chadwick
ai bot, ai chat, ai chatbot, artificial-intelligence, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, chatbots, conversation with ai, conversational-ui, creating chatbots, google chat bots, machine-learning, robot chat

Our Future to 5 Levels of AI. I wanted to give some insight into what… | by Brynn Chadwick

I wanted to give some insight into what we are working on, how nib is working towards the 5 levels of Digital Assistants. Originally coined by Rasa and a great way businesses can align their roadmaps to true conversational AI.In 2 years, we have deployed Digital Assistants in the following places: Webchat, Google Home, Amazon Alexa and most recently Telephony. It is still early days as these chatbots only handle simple question and answer pairs. Although, Google Duplex showed the world what the next level of Digital Assistants can do for us every day. Transforming to opensource conversational software allows our Digital Assistants to handle contextual conversations.At nib, this is the future of Digital Assistants at each level:Through this article, I will prove examples relevant to Aust...
Use of NLP in Canvas. Abstract | by Yash Choksi | Dec, 2020
ai bot, ai chat, ai chatbot, best chatbot, bots, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, conversation with ai, creating chatbots, deep-learning, machine-learning, nlp, prototyping, robot chat

Use of NLP in Canvas. Abstract | by Yash Choksi | Dec, 2020

In this project we are creating prototype and then working model for Canvas school mmannagement application. As we are students of California State University- Los Angeles we are using canvas as our daily class management application which deals managing assignments, homeworks and even discussions on any specific topics and many more. Now it is really overwelming taks to reach out to each and every demand which is createed by different professors. To tackle that problem we are introcuding one solution for voice assistant in canvas application. When anny student login into his account it clearly shows them what are pennding tasks and many more instructions. Wee are also extending our feeatures to read out discussions, give summary of long discussions and for that we are using topic model...