Part 8: Step by Step Guide to Master NLP – Useful Natural Language Processing Tasks

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). Up to part-7 of this series, we completed the most useful concepts in NLP. While going away in this series, let’s first discuss some of the useful tasks of NLP so that you have much clarity about what you can do by learning the NLP. After this part, we will start our discussion on […]

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Implementing Transformers in NLP Under 5 Lines Of Codes

This article was published as a part of the Data Science Blogathon Introduction Today, we will see a gentle introduction to the transformers library for executing state-of-the-art models for complex NLP tasks. Applying state-of-the-art Natural Language Processing models has never been more straightforward. Hugging Face has revealed a compelling library called transformers that allow us to perform and use a broad class of state-of-the-art NLP models in a specific way. Today we are operating to install and use the transformers library […]

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A Gentle Introduction To MuRIL : Multilingual Representations for Indian Languages

This article was published as a part of the Data Science Blogathon “MuRIL is a starting point of what we believe can be the next big evolution for Indian language understanding. We hope it will prove to be a better foundation for researchers, startups, students, and anyone else interested in building Indian language technologies” said Partha Talukdar, Research Scientist, Google Research India. What is MuRIL? MuRIL, short for Multilingual Representations for Indian Languages, is none other than a free and open-source […]

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Text Preprocessing in NLP with Python codes

This article was published as a part of the Data Science Blogathon Introduction Natural Language Processing (NLP) is a branch of Data Science which deals with Text data. Apart from numerical data, Text data is available to a great extent which is used to analyze and solve business problems. But before using the data for analysis or prediction, processing the data is important. To prepare the text data for the model building we perform text preprocessing. It is the very first […]

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Natural Language Processing – Sentiment Analysis using LSTM

This article was published as a part of the Data Science Blogathon Introduction: This article aims to explain the concepts of Natural Language Processing and how to build a model using LSTM (Long Short Term Memory), a deep learning algorithm for performing sentiment analysis. Let’s first discuss Natural Language processing! Natural Language Processing: Natural Language Processing (NLP) is a subfield of Artificial Intelligence that deals with understanding and deriving insights from human languages such as text and speech. Some of the […]

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Part 4: Step by Step Guide to Master NLP – Text Cleaning Techniques

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous part of this blog series, we complete the initial steps involved in text cleaning and preprocessing that are related to NLP. Now, in continuation of that part, in this article, we will cover the next techniques involved in the NLP pipeline of Text preprocessing. In this article, we will first discuss […]

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Part- 6: Step by Step Guide to Master Natural Language Processing (NLP) in Python

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous article of this series, we completed the statistical or frequency-based word embedding techniques, which are pre-word embedding era techniques. So, in this article, we will discuss the recent word-era embedding techniques. NOTE: In recent word-era embedding, there are many such techniques but in this article, we will discuss only the Word2Vec […]

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Part- 4: Step by Step Guide to Master Natural Language Processing in Python

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous part of this blog series, we complete the initial steps involved in text cleaning and preprocessing that are related to NLP. Now, in continuation of that part, in this article, we will cover the next techniques involved in the NLP pipeline of Text preprocessing. In this article, we will first discuss […]

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Covid-19 Tweets Analysis using NLP with Python

This article was published as a part of the Data Science Blogathon Introduction In this tutorial, I am going to discuss a practical guide of Natural Language Processing(NLP) using Python. Before we move further, we will just take a look at the concept of Corona Virus namely CoVid-19. CoVid-19: Coronavirus disease (CoVid-19) is an infectious disease that is caused by a newly discovered coronavirus. Most of the people who have been infected with the CoVid-19 virus will experience mild to adequate […]

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Pre-Processing of Text Data in NLP

This article was published as a part of the Data Science Blogathon Introduction In today’s life, a large amount of raw data is available in every sector in the form of text, audio, videos, etc. This data can be used to analyze a wide range of factors which can be used further to make some decisions or predictions. But for this, the raw data has to organize or summarized for getting better outcomes. Here comes the role of NLP, which is […]

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