April 29, 2021 Advanced, Classification, Libraries, NLP, Python, Structured Data, Supervised, Technique, Text

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 […]

April 27, 2021 Advanced, NLP, Project, Technique

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 […]

April 25, 2021 Advanced, Data Exploration, Data Visualization, NLP, Project, Python, Technique, Text, Unsupervised

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 […]

April 21, 2021 Advanced, NLP

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 […]

April 15, 2021 Advanced, NLP, Project, Python, Structured Data, Supervised, Technique, Text

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 […]

March 24, 2021 Advanced, NLP, Videos

Parts of Speech Tag and Dependency Grammer

Objective Parts of speech tagging and dependency parsing are widely used techniques in text processing. Understand parts of speech tags and grammars with their respective use cases in Natural language processing Introduction Natural language processing is a branch of machine learning that deals with how machines understand human languages. Text data is a widely available problem domain for NLP tasks. In order to work with text data, it is important to transform the raw text into a form that can […]

March 23, 2021 Advanced, NLP, Unsupervised, Videos

Tokenization and Text Normalization

Objective Text data is a type of unstructured data used in natural language processing. Understand how to preprocess the text data before feeding it to the machine learning algorithms. Introduction Text data is a form of unstructured data. The most prominent examples of text data available on the internet are social media data like tweets, posts, comments, or the Conversation data such as messages, emails, Chats. Also, it can be article data like news articles, blogs, etc. Note: If you […]

March 12, 2021 Advanced, Classification, NLP, Project, Python, Structured Data, Supervised, Technique, Text Leave a comment

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 […]

March 11, 2021 Advanced, NLP, Supervised, Text, Unstructured Data Leave a comment

A Hands-On Introduction to Hugging Face’s AutoNLP 101

Hugging Face, founded in 2016, has revolutionized the way people approach Natural Language Processing in this day and age. Based in New York, Hugging Face started out as a chatbot company with its primary focus today on the Transformers library and helping the developers integrate NLP into their own products or services. Hugging Face has made it incredibly easy for an individual to train their data on huge state-of-the-art models only with a couple of lines. Solving NLP, one commit […]

March 2, 2021 Advanced, NLP, Python, Technique, Text, Unstructured Data, Unsupervised Leave a comment

Beginners Guide to Regular Expressions in Natural Language Processing

Introduction Regular Expressions is very popular among programmers and can be applied in many programming languages like Java, JS, php, C++, etc. Regular Expressions are useful for numerous practical day-to-day tasks that a data scientist encounters. It is one of the key concepts of Natural Language Processing that every NLP expert should be proficient in. Regular Expressions are used in various tasks such as data pre-processing, rule-based information mining systems, pattern matching, text feature engineering, web scraping, data extraction, etc. […]

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