WhatsApp Group Chat Analysis using Python

Introduction Today one of the trendy social media platforms is…. guess what? One and only Whatsapp😅. It is one of the favorite social media platforms among all of us because of its attractive features. It has more than 2B users worldwide and “According to one survey an average user spends more than 195 minutes per week on WhatsApp”. How terrible the above statement is. Leave all these things and let’s understand what actually WhatsApp analyzer means? WhatsApp Analyzer means we […]

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Automate NLP Tasks using EvalML Library

“The quality of your communication shapes the quality of your life.”, with this beautiful line let’s s begin and understand what we will learn in this article. In my one of the article, I have explained how to automate machine learning problem statement using EvalML. In this article we will look at “is it possible to automate NLP task using EvalML?”. What is EvalML? It is an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective […]

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Building a Conversational Bot using LUIS

Introduction Companies are increasingly inclining towards having chatbots for their businesses for multiple applications. Amongst the numerous API providers in the chatbot landscape that focus on Natural Language Programming (NLP) and Natural Language Understanding (NLU), I would be demonstrating how to build a chatbot that can automate the process of scheduling interviews using Microsoft’s LUIS. Scheduling interviews comes with a lot of challenges like finding out a suitable slot for everyone, including other participants, rescheduling an interview on a participant’s […]

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Speed Up Text Pre Processing Using TextHero Python Library

Introduction     Natural Language Processing, typically abbreviated as NLP, is a branch of artificial intelligence that manages the connection among PCs and people utilizing the regular language. A definitive target of NLP is to peruse, unravel, comprehend, and figure out the human dialects in a way that is significant. Most NLP strategies depend on AI to get significance from human dialects. NLP involves applying calculations to recognize and separate the characteristic language decides to such an extent that the […]

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A Simple Guide to Metrics for Calculating String Similarity

Introduction One of the applications of Natural Language Processing is auto-correction and spellings checks. All of us have encountered this that if we type an incorrect or typo in the Google search engine, then the engine automatically corrects it and suggests the right word in its place. How does the engine do that? How does it know what word we wanted to write or ask? That is what we will be covering in this article. The methods available to check […]

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Role of Machine Learning in Natural Language Processing

Introduction Machine Learning and Natural Language Processing are important subfields of Artificial Intelligence that have gained prominence in recent times. Machine Learning and Natural Language Processing play a very important part in making an artificial agent into an artificial ‘intelligent’ agent. An Artificially Intelligent system can accept better information from the environment and can act on the environment in a user-friendly manner because of the advancement in Natural Language Processing. Similarly, an Artificially Intelligent System can process the received information […]

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How to Use Google’s NLP API to Analyze and Produce Better Content

Introduction Machine learning has revolutionized the way content marketers create content. It gave deep insights into what actually the search engine bots crawl and how they understand the natural language. Writing content today is a lot different than it was 15 years ago. In the past, the content was created for the Search Engines, which was enough to rank the website high. But, today, valuable content is not the one made specifically for search engines. In fact, creating such content […]

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A Guide to Feature Engineering in NLP

Overview Feature engineering in NLP is understanding the context of the text. In this blog, we will look at some of the common feature engineering in NLP. We will compare the results of a classification task with and without doing feature engineering   Table of Content Introduction NLP task overview List of features with code Implementation Results comparison with and without doing feature engineering Conclusion Introduction   “If 80 percent of our work is data preparation, then ensuring data quality […]

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Language Detection Using Natural Language Processing

Introduction Every Machine Learning enthusiast has a dream of building/working on a cool project, isn’t it? Mere understandings of the theory aren’t enough, you need to work on projects, try to deploy them, and learn from them. Moreover, working on specific domains like NLP gives you wide opportunities and problem statements to explore. Through this article, I wish to introduce you to an amazing project, the Language Detection model using Natural Language Processing. This will take you through a real-world […]

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Quick Guide to AI and ML Universe for Business Leaders

This article was published as a part of the Data Science Blogathon. Introduction Ever since the advent of Globalisation, the environment in which a business operates is constantly changing. An important component of the business environment is the technological environment. Technology, also, as we all know is constantly changing, updating with new trends coming in every day. Thus, it becomes imperative for businesses to understand and keep up with the technology trends to survive in the market. One thing that […]

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