Category: Python

Python tutorials

Data Science, Intermediate, Libraries, NLP, Python, Text, Word Embeddings

Practical Guide to Word Embedding System

This article was published as a part of the Data Science Blogathon Pre-requisites – Basic knowledge of Python – Understanding of basics of NLP(Natural Language Processing)   Introduction In natural language processing, word embedding is used for the representation of words for Text Analysis, in the form of a vector that performs the encoding of the meaning of the word such that the words which are closer in that vector space are expected to have similar in mean. Consider, boy-men vs […]

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Advanced, Github, NLP, Project, Python, Structured Data, Text

Part 3: Topic Modeling and Latent Dirichlet Allocation (LDA) using Gensim and Sklearn

This article was published as a part of the Data Science Blogathon Overview In the previous two installments, we had understood in detail the common text terms in Natural Language Processing (NLP), what are topics, what is topic modeling, why it is required, its uses, types of models and dwelled deep into one of the important techniques called Latent Dirichlet Allocation (LDA). In this last leg of the Topic Modeling and LDA series, we shall see how to extract topics through […]

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Python

The Square Root Function in Python

Are you trying to solve a quadratic equation? Maybe you need to calculate the length of one side of a right triangle. You can use the math module’s sqrt() method for determining the square root of a number. This course covers the use of math.sqrt() as well as related methods. In this course, you’ll learn: About square roots and related mathematical operations How to use the Python square root function, sqrt() Where sqrt() can be useful in real-world examples   […]

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Advanced, Algorithm, NLP, Project, Python, Text

How to Perform Basic Text Analysis without Training Dataset

This article was published as a part of the Data Science Blogathon Overview This article will give you a basic understanding of how text analysis works. Learn the various steps of the NLP pipeline Derivation of the overall sentiment of the text. Dashboard depicting the general statistics and sentiment analysis of the text. Abstract In this modern digital era, a large amount of information is generated per second. Most of the data humans generate through WhatsApp messages, tweets, blogs, news articles, […]

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Advanced, NLP, Project, Python, Text, Unstructured Data, Use Cases

Learn to Develop Simple Chatbots using Python and Deep Learning!

This article was published as a part of the Data Science Blogathon Introduction A Chatbot is an application(software) that is used to manage an online chat conversation through text or text to speech format. Most of the chatbots are accessed online through various websites or assistances(virtual) with a popup. Examples:- E-commerce websites, health, news, etc. Image source: https://www.syncfusion.com/blogs/wp-content/uploads/2020/01/tile.jpg   Agenda of this article: 1) Data and Libraries 2) Initialize Training of Chatbot 3) Build the Deep Learning Model 4) Build GUI of […]

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Advanced, NLP, Project, Python, Technique, Unstructured Data

Part 9: Step by Step Guide to Master NLP – Semantic Analysis

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, we discussed some important tasks of NLP. I hope after reading that article you can understand the power of NLP in Artificial Intelligence. So, in this part of this series, we will start our discussion on Semantic analysis, which is a level of the NLP tasks, and see all the […]

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Advanced, NLP, Python, Text

Part 15: Step by Step Guide to Master NLP – Topic Modelling using NMF

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, we discussed all the basic concepts related to Topic modelling. Now, from this article, we will start our journey towards learning the different techniques to implement Topic modelling. In this article, we will be discussing a very basic technique of topic modelling named Non-negative Matrix Factorization (NMF). So, In this […]

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Beginner, NLP, Python, Text, Word Embeddings

Word2Vec For Word Embeddings -A Beginner’s Guide

This article was published as a part of the Data Science Blogathon Why are word embeddings needed? Let us consider the two sentences – “You can scale your business.” and “You can grow your business.”. These two sentences have the same meaning. If we consider a vocabulary considering these two sentences, it will constitute of these words: {You, can, scale, grow, your, business}. A one-hot encoding of these words would create a vector of length 6. The encodings for each of […]

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Python

Python News: What’s New From June 2021?

If you want to get up to speed on what happened in the world of Python in June 2021, then you’ve come to the right place to get your news! June was a month of change. Ewa Jodlowska, the Executive Director of the Python Software Foundation (PSF), announced her departure after serving for ten years, and the PSF Board of Directors gained three new directors. Let’s dive into the biggest Python news from the past month! Free Bonus: 5 Thoughts […]

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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 […]

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