Must Known Techniques for text preprocessing in NLP

This article was published as a part of the Data Science Blogathon In any Machine learning task, cleaning or preprocessing the data is as important as model building. Text data is one of the most unstructured forms of available data and when comes to deal with Human language then it’s too complex. Have you ever wondered how Alexa, Siri, Google assistant can understand, process, and respond in Human language. NLP is a technology that works behind it where before any response […]

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Language Translation with Transformer In Python!

This article was published as a part of the Data Science Blogathon Introduction Natural Language Processing (NLP) is a field at the convergence of artificial intelligence, and linguistics. The aim is to make the computers understand real-world language or natural language so that they can perform tasks like Question Answering, Language Translation, and many more. NLP has lots of applications in different fields. 1. NLP enables the recognition and prediction of diseases based on electronic health records. 2. It is used […]

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Develop a Customer Review Analysis Platform from scratch

This article was published as a part of the Data Science Blogathon Introduction When we go to buy anything, what is the one factor that helps us choosing one thing over another? Isn’t it the reviews of that product or service, which represent the brand value? In the era of digital advancement and e-commence, almost every product or service has an indirect or direct digital presence. Consumers of these products and services leave feedback on these over various mediums which creates […]

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Generate Questions from Movies!

This article was published as a part of the Data Science Blogathon Have you ever thought of generating questions from the SRT files of Movies? I don’t know if we can use this but it is pretty exciting when I came to know as a beginner that we can do that. What is SRT? In simple terms, the subtitles you see in Amazon Prime, Netflix, Hotstar, HBO, etc are saved in a text file with (.srt) extension with timestamps. The timestamp […]

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Text Analytics of Resume Dataset with NLP!

This article was published as a part of the Data Science Blogathon Introduction We all have made our resumes at some point in time. In a resume, we try to include important facts about ourselves like our education, work experience, skills, etc. Let us work on a resume dataset today.  The text we put in our resume speaks a lot about us. For example, our education, skills, work experience, and other random information about us are all present in a resume. […]

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Will MLOps change the future of the healthcare system?

This article was published as a part of the Data Science Blogathon Overview: From the advent of modern Science & Technology, Researchers are trying to find a far better solution for the real-time problems we face in our day-to-day life. Technologies like Machine learning, AI, deep learning, and NLP give dynastic and diplomatic solutions in various growing sectors like finance, healthcare, and therefore the retail industry, etc, and making it more and more reliable in production. Will Machine Learning change the […]

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Beginner’s guide before building a Chatbot

This article was published as a part of the Data Science Blogathon According to Accenture – “57% of the Businesses agree that chatbots deliver larger ROI with minimal effort.” Table of Contents : 1. What’s a chatbot? 2. A dive into types of chatbots 3.What are the top platforms to build a chatbot? 4. What are the top Frameworks for building a chatbot? 5. The Algorithm to build a Chatbot. 6. Tips to follow before building your first chatbot 7. Top […]

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Measuring Text Similarity Using BERT

This article was published as a part of the Data Science Blogathon BERT is too kind — so this article will be touching on BERT and sequence relationships! Abstract A significant portion of NLP relies on the connection in highly-dimensional spaces. Typically an NLP processing will take any text, prepare it to generate a tremendous vector/array rendering said text — then make certain transformations. It’s a highly-dimensional charm. At an exceptional level, there’s not much extra to it. We require to […]

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Interesting NLP Use Cases Every Data Science Enthusiast should know!

This article was published as a part of the Data Science Blogathon Introduction Natural Language Processing (NLP) is a subpart of Artificial Intelligence that uses algorithms to understand and process human language. Various computational methods are used to process and analyze human language and a wide variety of real-life problems are solved using Natural Language Processing. (Source: Kaggle.com) Using Natural Language Processing, we use machines by making them understand how human language works. Basically, we use text data and make computers analyze […]

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Natural Language Processing Step by Step Guide

This article was published as a part of the Data Science Blogathon Overview Basic understanding of Natural Language Processing. Learn Various Techniques used for the implementation of NLP. Understand how to use NLP for text mining. Prerequisite You must have a basic knowledge of Python. As we know every piece of data has some meaning in its position. Most important is that text data is getting generated in various formats like reviews, SMS, emails, and many more for every moment. The […]

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