November 4, 2020 Big data, Business Analytics, Data Exploration, Intermediate, NLP, Project, R, Sports, Text, Unstructured Data Leave a comment

Who is the world cheering for? 2014 FIFA WC winner predicted using Twitter feed (in R)

Sports are filled with emotions! Cheering of audience, reactions to events on various media channels are some of the factors, which make a huge impact on the mind of the players. If people support you, your chances to win are greatly enhanced. Live example of this fact, are the statistics of Indian cricket team playing in India and abroad. The win rate of Indian cricket team in India is approximately twice the win rate abroad. Football is again a game driven largely by emotions. […]

November 4, 2020 Classification, Intermediate, Machine Learning, NLP, Project, R, Supervised, Text, Unstructured Data Leave a comment

Kaggle Solution: What’s Cooking ? (Text Mining Competition)

Introduction Tutorial on Text Mining, XGBoost and Ensemble Modeling in R I came across What’s Cooking competition on Kaggle last week. At first, I was intrigued by its name. I checked it and realized that this competition is about to finish. My bad! It was a text mining competition. This competition went live for 103 days and ended on 20th December 2015. Still, I decided to test my skills. I downloaded the data set, built a model and managed to get a score of […]

November 4, 2020 Data Science, Intermediate, Machine Learning, NLP, Project, R Leave a comment

Measuring Audience Sentiments about Movies using Twitter and Text Analytics

Introduction The practice of using analytics to measure movie’s success is not a new phenomenon. Most of these predictive models are based on structured data with input variables such as Cost of Production, Genre of the Movie, Actor, Director, Production House, Marketing expenditure, no of distribution platforms, etc. However, with the advent of social media platforms, young demographics, digital media and the increasing adoption of platforms like Twitter, Facebook, etc to express views and opinions. Social Media has become a […]

November 4, 2020 Advanced, Deep Learning, NLP, Python, Technique, Text, Unstructured Data Leave a comment

Introduction to Computational Linguistics and Dependency Trees in data science

Introduction In recent years, the amalgam of deep learning fundamentals with Natural Language Processing techniques has shown a great improvement in the information mining tasks on unstructured text data. The models are now able to recognize natural language and speech comparable to human levels. Despite such improvements, discrepancies in the results still exist as sometimes the information is coded very deep in the syntaxes and syntactic structures of the corpus. Example – Problem with Neural Networks For example, a conversation […]

November 4, 2020 Advanced, Data Science, Deep Learning, Machine Learning, NLP, Sound Processing, Technique Leave a comment

A Must-Read Introduction to Sequence Modelling (with use cases)

Introduction Artificial Neural Networks (ANN) were supposed to replicate the architecture of the human brain, yet till about a decade ago, the only common feature between ANN and our brain was the nomenclature of their entities (for instance – neuron). These neural networks were almost useless as they had very low predictive power and less number of practical applications. But thanks to the rapid advancement in technology in the last decade, we have seen the gap being bridged to the […]

November 4, 2020 Algorithm, Intermediate, NLP, Python, Ranking, Technique, Text, Unstructured Data, Unsupervised Leave a comment

An Introduction to Text Summarization using the TextRank Algorithm (with Python implementation)

Introduction Text Summarization is one of those applications of Natural Language Processing (NLP) which is bound to have a huge impact on our lives. With growing digital media and ever growing publishing – who has the time to go through entire articles / documents / books to decide whether they are useful or not? Thankfully – this technology is already here. Have you come across the mobile app inshorts? It’s an innovative news app that converts news articles into a […]

November 4, 2020 Computer Vision, Data Science, Deep Learning, Github, Intermediate, Listicle, NLP, Python, Reddit Leave a comment

Top 5 Data Science GitHub Repositories and Reddit Discussions (January 2019)

Introduction There’s nothing quite like GitHub and Reddit for data science. Both platforms have been of immense help to me in my data science journey. GitHub is the ultimate one-stop platform for hosting your code. It excels at easing the collaboration process between team members. Most leading data scientists and organizations use GitHub to open-source their libraries and frameworks. So not only do we stay up-to-date with the latest developments in our field, we get to replicate their models on our […]

November 4, 2020 Advanced, Deep Learning, NLP, Project, Python, Sequence Modeling, Supervised, Text, Unstructured Data Leave a comment

Comprehensive Guide to Text Summarization using Deep Learning in Python

Introduction “I don’t want a full report, just give me a summary of the results”. I have often found myself in this situation – both in college as well as my professional life. We prepare a comprehensive report and the teacher/supervisor only has time to read the summary. Sounds familiar? Well, I decided to do something about it. Manually converting the report to a summarized version is too time taking, right? Could I lean on Natural Language Processing (NLP) techniques […]

November 4, 2020 Advanced, NLP, Project, Python, Sequence Modeling, Supervised, Text, Unstructured Data Leave a comment

A Comprehensive Guide to Build your own Language Model in Python!

Overview Language models are a crucial component in the Natural Language Processing (NLP) journey These language models power all the popular NLP applications we are familiar with – Google Assistant, Siri, Amazon’s Alexa, etc. We will go from basic language models to advanced ones in Python here Introduction We tend to look through language and not realize how much power language has. Language is such a powerful medium of communication. We have the ability to build projects from scratch […]

November 4, 2020 Intermediate, Libraries, NLP, Swift, Technique, Text, Unstructured Data, Word Embeddings Leave a comment

Create Natural Language Processing based Apps for iOS in Minutes! (using Apple’s Core ML 3)

Overview Intrigued by Apple’s iOS apps? Learn how to build Natural Language Processing (NLP) iOS apps in this article We’ll be using Apple’s Core ML 3 to build these NLP iOS apps This is a hands-on step by step tutorial with code Introduction I love working in the Natural Language Processing (NLP) space. The last couple of years have been a goldmine for me – the level and quality of developments have been breathtaking. But this comes with its […]

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