Data Science Trends of the Future 2022

Photo credit: Unsplash. Data Science is an exciting field for knowledge workers because it increasingly intersects with the future of how industries, society, governance and policy will function. While it’s one of those vague terms thrown around a lot for students, it’s actually fairly simple to define. Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across […]

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Beginner’s Guide To Text Classification Using PyCaret

Introduction Have you ever solved a Machine Learning problem in just one go? Solving a problem using machine learning isn’t straightforward. It involves various steps to come up with an accurate solution. The process/steps to be followed for solving an ml problem is known as ML Pipeline/ML Cycle. ML Pipeline/ ML Cycle (Credits: https://medium.com/analytics-vidhya/machine-learning-development-life-cycle-dfe88c44222e) As shown in the figure, the Machine Learning pipeline consists of different steps like: Understand Problem Statement, Hypothesis Generation, Exploratory Data Analysis, Data Preprocessing, Feature Engineering, […]

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Predict the next word of your text using Long Short Term Memory (LSTM)

This article was published as a part of the Data Science Blogathon Introduction: https://sm.mashable.com/t/mashable_in/photo/default/shutterstock-1208129407_trm5.960.jpg Natural language processing has been an area of research and used widely in different applications. We often love texting each other and find that whenever we try to type a text a suggestion poops up trying to predict the next word we want to write. This process of prediction is one of the applications NLP deals with. We have made huge progress here and we can use […]

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Build an end-end Currency Convertor chatbot with Python and Dialogflow

This article was published as a part of the Data Science Blogathon Introduction Hello all, Hope you are fine. In this tutorial we will learn how to create chatbots using Dialogflow and python, as well we will learn the deployment of chatbots to telegram. In our previous articles, we have learned to create a simple rule-based chatbot using simple python and NLTK libraries. I would like to request you to have a look at the article creating a simple chatbot […]

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Sentiment Analysis Using Bidirectional Stacked LSTM

This article was published as a part of the Data Science Blogathon Sentiment Analysis Sentiment Analysis is the process of finding the sentiments of the text data. Sentiment Analysis falls under the text classification in Natural Language Processing. Sentiment Analysis would help us to know our customer reviews better. A sentiment denotes any one of the following, Positive, Negative, and Neutral. When we analyze the negative reviews of our products we can easily use those reviews to surmount the problems […]

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Malawi News Classification -An NLP Project

Classifying Malawi News articles into 19 different classes using SMOTE and SGDClassifier. Introduction Text classification is common among the application that we use on daily basis. For example, email providers use text classification to filter out spam emails from your inbox. The other most common use of text classification is in customer care where they use sentimental analysis to differentiate bad reviews from good reviews ADDI AI 2050. The modern use of text classification list goes on as we have excelled to […]

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Identifying The Language of A Document Using NLP!

This article was published as a part of the Data Science Blogathon Introduction The goal of this article is to identify the language from the written text. The text in documents is available in many languages and when we don’t know the language it becomes very difficult sometimes to tell this to google translator as well. For most translators, we have to tell both the input language and the desired language. If you had a text written in Spanish and you […]

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Performing Sentiment Analysis Using Twitter Data!

Photo by Daddy Mohlala on Unsplash Data is water, purifying to make it edible is a role of Data Analyst – Kashish Rastogi We are going to clean the twitter text data and visualize data in this blog. Table Of Contents: Problem Statement Data Description Cleaning text with NLP Finding if the text has: with spacy Cleaning text with preprocessor library Analysis of the sentiment of data Data visualizing   I am taking the twitter data which is available here on […]

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Bag-of-words vs TFIDF vectorization –A Hands-on Tutorial

This article was published as a part of the Data Science Blogathon Whenever we apply any algorithm to textual data, we need to convert the text to a numeric form. Hence, there arises a need for some pre-processing techniques that can convert our text to numbers. Both bag-of-words (BOW) and TFIDF are pre-processing techniques that can generate a numeric form from an input text. Bag-of-Words: The bag-of-words model converts text into fixed-length vectors by counting how many times each word appears. […]

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Getting Started with Natural Language Processing using Python

This article was published as a part of the Data Science Blogathon Why NLP? Natural Language Processing has always been a key tenet of Artificial Intelligence (AI). With the increase in the adoption of AI, systems to automate sophisticated tasks are being built. Some of these examples are described below. Diagnosing rare form of cancer –  At the University of Tokyo’s Institute of Medical Science, doctors used artificial intelligence to successfully diagnose a rare type of leukemia. The doctors used an AI […]

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