Friday, May 1Digital Marketing Journals

Tag: Handson

15 Best WordPress Survey Plugins in 2023 (Hands-On)
Digital Marketing, digital mkt, email list, Email Marketing, email outreach, Internet marketing, Online Marketing, wordpress website

15 Best WordPress Survey Plugins in 2023 (Hands-On)

On the hunt for the best WordPress survey plugin? Whether you're looking to improve the user experience on your website, increase your customer satisfaction, or simply learn more about your visitors, embedding a survey on your website is the fastest way to get the feedback you need. (more…)
Hands-on IBM Watson Chatbot: Basic | by Sohini Pattanayak 🥑 | Jan, 2022
ai bot, ai chat, ai chatbot, basics, beginers, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, chatbots, conversation with ai, creating chatbots, ibm-watson, nlp, robot chat

Hands-on IBM Watson Chatbot: Basic | by Sohini Pattanayak 🥑 | Jan, 2022

I spent some good time a few months back, reading about IBM Watson Assistants. And I thought, how about I build one. It’s smooth. So I built it using their console and not actually coding it. I manually added the requests and responses and built them. In the next blog, I’ll code one!I built a bakery-shop bot that takes an order for a Cake of the user’s choice and displays the bill for that particular cake. Well, it doesn’t have too many functionalities, as it’s for starters!First, we log in to IBM Cloud. Link: https://cloud.ibm.com/Our dashboard would look like this:We click on “Create Resource” and on the Search bar, right under Catalogue, we search for: IBM Watson Chatbot.We create a new resource.Now, we are prompted to give the assistant a name, description, and assistant language. This...
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 othe...