A Guide to Feature Engineering in NLP

Overview Feature engineering in NLP is understanding the context of the text. In this blog, we will look at some of the common feature engineering in NLP. We will compare the results of a classification task with and without doing feature engineering   Table of Content Introduction NLP task overview List of features with code Implementation Results comparison with and without doing feature engineering Conclusion Introduction   “If 80 percent of our work is data preparation, then ensuring data quality […]

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Language Detection Using Natural Language Processing

Introduction Every Machine Learning enthusiast has a dream of building/working on a cool project, isn’t it? Mere understandings of the theory aren’t enough, you need to work on projects, try to deploy them, and learn from them. Moreover, working on specific domains like NLP gives you wide opportunities and problem statements to explore. Through this article, I wish to introduce you to an amazing project, the Language Detection model using Natural Language Processing. This will take you through a real-world […]

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Emotion classification on Twitter Data Using Transformers

Introduction The world of Natural language processing is recently overtaken by the invention of Transformers. Transformers are entirely indifferent to the conventional sequence-based networks. RNNs are the initial weapon used for sequence-based tasks like text generation, text classification, etc. But with the arrival of LSTM and GRU cells, the issue with capturing long-term dependency in the text got resolved. But learning the model with LSTM cells is a hard task as we cannot make it learn parallelly.

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Fake news classifier on US Election News📰 | LSTM 🈚

Introduction News media has become a channel to pass on the information of what’s happening in the world to the people living. Often people perceive whatever conveyed in the news to be true. There were circumstances where even the news channels acknowledged that their news is not true as they wrote. But some news has a significant impact not only on the people or    

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Hands-On Tutorial on Stack Overflow Question Tagging

This article was published as a part of the Data Science Blogathon. Background I won’t be lying if I assert that every developer/engineer/student has used the website Stack Overflow more than once in their journey. Widely considered as one of the largest and more trusted websites for developers to learn and share their knowledge, the website presently hosts in excess of 10,000,000 questions. In this post, we try to predict the question tags based on the question text asked on […]

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Building a Recommendation System using Word2vec: A Unique Tutorial with Case Study in Python

Overview Recommendation engines are ubiquitous nowadays and data scientists are expected to know how to build one Word2vec is an ultra-popular word embeddings used for performing a variety of NLP tasks We will use word2vec to build our own recommendation system. Curious how NLP and recommendation engines combine? Let’s find out!   Introduction Be honest – how many times have you used the ‘Recommended for you’ section on Amazon? Ever since I found out a few years back that machine […]

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NLP Applications in Support Call Centers

This article was published as a part of the Data Science Blogathon. Introduction This article is in continuation of my previous article on using Machine learning in Support environments. I shared my views on, how using simple python code we can enrich our call centers/support division activities in our own organization or customer organization. In that article, I shared an insight into what and how we can make a difference to the current environment using ML in giving better service […]

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Time Series in Excel! Learn Exponential Smoothing Models for Time Series Forecasting in Excel

Overview Excel is the perfect fit for building your time series forecasting models We’ll discuss exponential smoothing models for time series forecasting, including the math behind them We’ll also implement these exponential smoothing models in MS Excel   Introduction Time series in Excel – just seems like a natural fit, right? We see and design line charts in Excel all the time – from sales forecasts to revenue reviews – it all fits into how we think about using Excel […]

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