July 12, 2021 Beginner, Data Science, NLP, Python, Unstructured Data

A simple start with Natural Language Processing!

This article was published as a part of the Data Science Blogathon Introduction to NLP: After I got acquainted with Machine learning concepts, I was wary of venturing into NLP. To me, NLP was a subject area posing a complicated outlook. But after my first encounter with it, I have come to realize that though it is hard to master it, it is easy to follow the concepts. I am presenting some basic NLP concepts and their work. NLP or Natural […]

July 10, 2021 Beginner, Data Science, NLP, Python, Text

NLP: Answer Retrieval from Document using Python

This article was published as a part of the Data Science Blogathon Introduction → This article focuses on answer retrieval from a document by using similarity and difference metrics. This task falls under Natural Language Processing which is a subset of Deep Learning. In this article we will be understanding the concept of general similarity algorithms and how can they be applied to complete our task. The article will be based on python for the coding part. How to Approach → To […]

July 9, 2021 Data Science, Libraries, NLP, Python, Text, Unstructured Data

Part 2: Topic Modeling and Latent Dirichlet Allocation (LDA) using Gensim and Sklearn

This article was published as a part of the Data Science Blogathon Introduction In the previous article, we had started with understanding the basic terminologies of text in Natural Language Processing(NLP), what is topic modeling, its applications, the types of models, and the different topic modeling techniques available. Let’s continue from there, explore Latent Dirichlet Allocation (LDA), working of LDA, and its similarity to another very popular dimensionality reduction technique called Principal Component Analysis (PCA). Table of Contents A Little […]

June 26, 2021 Beginner, Data Science, NLP, Python, Text, Word Embeddings

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 […]

June 25, 2021 Advanced, Data Science, NLP, Python, Text

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 […]

June 25, 2021 Data Science, Intermediate, Machine Learning, NLP, Python, Text, Unstructured Data

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 […]

June 23, 2021 Data Science, NLP, Project, Python, Text

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 […]

June 12, 2021 Advanced, Data Science, NLP, Project, Python, PyTorch, Unstructured Data

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 […]

June 8, 2021 Beginner, Data Science, Machine Learning, NLP, Python, Text

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. […]

May 17, 2021 Data Science, Intermediate, NLP, Python, Unstructured Data, Unsupervised

Build your own NLP based search engine Using BM25

Introduction Ever wondered how these search engines like Google and Yahoo work. And ever thought about how can they scan all through the internet and return relevant results in just About 5,43,00,000 results (0.004seconds). Well, they work on the concept of Crawling and Indexing. Crawling: Automated bots looks for pages that are new or updated. And stores the key information like — URL, title, keywords, and so on from the pages to be used later. Indexing: Data captured from crawling is analyzed […]

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