October 11, 2020 Deep Learning, Intermediate, Listicle, NLP, Python, Technique Leave a comment

The Essential NLP Guide for data scientists (with codes for top 10 common NLP tasks)

Introduction Organizations today deal with huge amount and wide variety of data – calls from customers, their emails, tweets, data from mobile applications and what not. It takes a lot of effort and time to make this data useful. One of the core skills in extracting information from text data is Natural Language Processing (NLP). Natural Language Processing (NLP) is the art and science which helps us extract information from text and use it in our computations and algorithms. Given […]

October 11, 2020 Analytics Vidhya, Beginner, Deep Learning, Listicle, Machine Learning, NLP, Winners Approach Leave a comment

The Winning Approaches from codeFest 2018 – NLP, Computer Vision and Machine Learning!

Introduction Analytics Vidhya’s hackathons are one of the best ways to evaluate how far you’ve traveled in your data science journey. And what better way than to put your skills to the test against the top data scientists from around the globe? Participating in these hackathons also helps you understand where you need to improve and what else you can learn to get a better score in the next competition. And a very popular demand after each hackathon is to […]

October 11, 2020 Classification, Machine Learning, NLP, Project, Python, Supervised, Technique, Telecom, Text, Unstructured Data Leave a comment

Predicting Movie Genres using NLP – An Awesome Introduction to Multi-Label Classification

Introduction I was intrigued going through this amazing article on building a multi-label image classification model last week. The data scientist in me started exploring possibilities of transforming this idea into a Natural Language Processing (NLP) problem. That article showcases computer vision techniques to predict a movie’s genre. So I had to find a way to convert that problem statement into text-based data. Now, most NLP tutorials look at solving single-label classification challenges (when there’s only one label per observation). […]

October 11, 2020 Analytics Vidhya, Intermediate, Listicle, NLP Leave a comment

7 Amazing NLP Hack Sessions to Watch out for at DataHack Summit 2019

Picture a world where: Machines are able to have human-level conversations with us Computers understand the context of the conversation without having to be told what the subject is These machines can even write full-blown essays after being given the theme of the topic This isn’t a movie script or a futuristic scenario – this is all happening right now thanks to the power of Natural Language Processing (NLP)! Here’s the incredible rise charted by Google Trends in the last […]

October 11, 2020 Beginner, Classification, Deep Learning, NLP, Project, Python, PyTorch, Supervised, Technique, Text, Unstructured Data Leave a comment

Build Your First Text Classification model using PyTorch

Overview Learn how to perform text classification using PyTorch Grasp the importance of Pack Padding feature Understand the key points involved while solving text classification Introduction I always turn to State of the Art architectures to make my first submission in data science hackathons. Implementing the State of the Art architectures has become quite easy thanks to deep learning frameworks such as PyTorch, Keras, and TensorFlow. These frameworks provide an easy way to implement complex model architectures and algorithms with […]

October 11, 2020 Beginner, Listicle, NLP Leave a comment

Top 10 Applications of Natural Language Processing (NLP)

Introduction Natural Language Processing is among the hottest topic in the field of data science. Companies are putting tons of money into research in this field. Everyone is trying to understand Natural Language Processing and its applications to make a career around it. Every business out there wants to integrate it into their business somehow. Do you know why? Because just in a few years’ time span, natural language processing has evolved into something so powerful and impactful, which […]

September 29, 2020 Beginner, Data Science, Libraries, NLP, Programming, Python, Text, Unstructured Data Leave a comment

Beginners Tutorial for Regular Expressions in Python

Importance of Regular Expressions In last few years, there has been a dramatic shift in usage of general purpose programming languages for data science and machine learning. This was not always the case – a decade back this thought would have met a lot of skeptic eyes! This means that more people / organizations are using tools like Python / JavaScript for solving their data needs. This is where Regular Expressions become super useful. Regular expressions are normally the default way […]

September 29, 2020 Classification, Data Science, Intermediate, NLP, Project, Python, Supervised, Technique, Text, Unstructured Data Leave a comment

Sentiment Analysis of Twitter Posts on Chennai Floods using Python

Introduction The best way to learn data science is to do data science. No second thought about it! One of the ways, I do this is continuously look for interesting work done by other community members. Once I understand the project, I do / improve the project on my own. Honestly, I can’t think of a better way to learn data science. As part of my search, I came across a study on sentiment analysis of Chennai Floods on Analytics Vidhya. […]

September 29, 2020 Beginner, Libraries, NLP, Python, Text, Unstructured Data Leave a comment

How to Use Texthero to Prepare a Text-based Dataset for Your NLP Project

Introduction Natural Language Processing (NLP) is one of the most important fields of study and research in today’s world. It has many applications in the business sector such as chatbots, sentiment analysis, and document classification. Preprocessing and representing text is one of the trickiest and most annoying parts of working on an NLP project. Text-based datasets can be incredibly thorny and difficult to preprocess. But fortunately, the latest Python package called Texthero can help you solve these challenges. What is […]

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