NLP Essentials: Removing Stopwords and Performing Text Normalization using NLTK and spaCy in Python

Overview Learn how to remove stopwords and perform text normalization in Python – an essential Natural Language Processing (NLP) read We will explore the different methods to remove stopwords as well as talk about text normalization techniques like stemming and lemmatization Put your theory into practice by performing stopwords removal and text normalization in Python using the popular NLTK, spaCy and Gensim libraries   Introduction Don’t you love how wonderfully diverse Natural Language Processing (NLP) is? Things we never imagined […]

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An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP

Overview Neural fake news (fake news generated by AI) can be a huge issue for our society This article discusses different Natural Language Processing methods to develop robust defense against Neural Fake News, including using the GPT-2 detector model and Grover (AllenNLP) Every data science professional should be aware of what neural fake news is and how to combat it   Introduction Fake news is a major concern in our society right now. It has gone hand-in-hand with the rise […]

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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 […]

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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 […]

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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 […]

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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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Create your Own Image Caption Generator using Keras!

Overview Understand how image caption generator works using the encoder-decoder Know how to create your own image caption generator using Keras   Introduction Image caption Generator is a popular research area of Artificial Intelligence that deals with image understanding and a language description for that image. Generating well-formed sentences requires both syntactic and semantic understanding of the language. Being able to describe the content of an image using accurately formed sentences is a very challenging task, but it could also […]

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Build a word cloud using text mining tools of R

 This is how a word cloud of our entire website looks like! A word cloud is a graphical representation of frequently used words in a collection of text files. The height of each word in this picture is an indication of frequency of occurrence of the word in the entire text. By the end of this article, you will be able to make a word cloud using R on any given set of text files. Such diagrams are very useful when doing […]

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6 Practices to enhance the performance of a Text Classification Model

Introduction A few months back, I was working on creating a sentiment classifier for Twitter data. After trying the common approaches, I was still struggling to get good accuracy on the results. Text classification problems and algorithms have been around for a while now. They are widely used for Email Spam Filtering by the likes of Google and Yahoo, for conducting sentiment analysis of twitter data and automatic news categorization in google alerts. However, while dealing with enormous amount of text […]

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An NLP Approach to Mining Online Reviews using Topic Modeling (with Python codes)

Introduction E-commerce has revolutionized the way we shop. That phone you’ve been saving up to buy for months? It’s just a search and a few clicks away. Items are delivered within a matter of days (sometimes even the next day!). For online retailers, there are no constraints related to inventory management or space management They can sell as many different products as they want. Brick and mortar stores can keep only a limited number of products due to the finite space […]

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