November 7, 2020 Audio, Audio Processing, Intermediate, NLP, Python, Sequence Modeling, Supervised, Technique, Unstructured Data Leave a comment

Learn how to Build your own Speech-to-Text Model (using Python)

Overview Learn how to build your very own speech-to-text model using Python in this article The ability to weave deep learning skills with NLP is a coveted one in the industry; add this to your skillset today We will use a real-world dataset and build this speech-to-text model so get ready to use your Python skills! Introduction “Hey Google. What’s the weather like today?” This will sound familiar to anyone who has owned a smartphone in the last decade. […]

November 7, 2020 Beginner, Libraries, NLP, Python, Text, Unstructured Data Leave a comment

Hugging Face Releases New NLP ‘Tokenizers’ Library Version (v0.8.0)

Hugging Face is at the forefront of a lot of updates in the NLP space. They have released one groundbreaking NLP library after another in the last few years. Honestly, I have learned and improved my own NLP skills a lot thanks to the work open-sourced by Hugging Face. And today, they’ve released another big update – a brand new version of their popular Tokenizer library. A Quick Introduction to Tokenization So, what is tokenization? Tokenization is a crucial […]

November 6, 2020 Business Analytics, Classification, Intermediate, Machine Learning, NLP, Project, Python, Supervised, Text, Unstructured Data Leave a comment

Tapping Twitter Sentiments: A Complete Case-Study on 2015 Chennai Floods

Introduction We did this case study as a part of our capstone project at Great Lakes Institute of Management, Chennai. After we presented this study, we got an overwhelming response from our professors & mentors. Later, they encouraged us to share our work to help others learn something new. We’ve been following Analytics Vidhya for a while now. Everyone knows, it’s probably the largest engine to share analytics knowledge. We tried and got lucky in connecting with their content team. So, […]

November 6, 2020 Advanced, Algorithm, Deep Learning, Machine Learning, NLP, Python, Technique, Text, Unstructured Data Leave a comment

An Intuitive Understanding of Word Embeddings: From Count Vectors to Word2Vec

Introduction Before we start, have a look at the below examples. You open Google and search for a news article on the ongoing Champions trophy and get hundreds of search results in return about it. Nate silver analysed millions of tweets and correctly predicted the results of 49 out of 50 states in 2008 U.S Presidential Elections. You type a sentence in google translate in English and get an Equivalent Chinese conversion. So what do the above examples have […]

November 6, 2020 Classification, Deep Learning, Intermediate, Libraries, Machine Learning, NLP, Programming, Python, Supervised, Text, Unstructured Data Leave a comment

Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python

Introduction Natural Language Processing (NLP) needs no introduction in today’s world. It’s one of the most important fields of study and research, and has seen a phenomenal rise in interest in the last decade. The basics of NLP are widely known and easy to grasp. But things start to get tricky when the text data becomes huge and unstructured. That’s where deep learning becomes so pivotal. Yes, I’m talking about deep learning for NLP tasks – a still relatively less […]

November 6, 2020 Advanced, NLP, Python, Social Media, Technique, Text, Unstructured Data, Unsupervised, Word Embeddings Leave a comment

A Step-by-Step NLP Guide to Learn ELMo for Extracting Features from Text

Introduction I work on different Natural Language Processing (NLP) problems (the perks of being a data scientist!). Each NLP problem is a unique challenge in its own way. That’s just a reflection of how complex, beautiful and wonderful the human language is. But one thing has always been a thorn in an NLP practitioner’s mind is the inability (of machines) to understand the true meaning of a sentence. Yes, I’m talking about context. Traditional NLP techniques and frameworks were great when […]

November 6, 2020 Intermediate, NLP, Python, Technique, Text, Unstructured Data Leave a comment

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 […]

November 6, 2020 Advanced, Cyber Security, Deep Learning, NLP, Project, Python, Semi-supervised, Technique, Text, Unstructured Data Leave a comment

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 […]

November 6, 2020 Advanced, Algorithm, NLP, Python, Text, Unstructured Data Leave a comment

What is Tokenization in NLP? Here’s All You Need To Know

Highlights Tokenization is a key (and mandatory) aspect of working with text data We’ll discuss the various nuances of tokenization, including how to handle Out-of-Vocabulary words (OOV) Introduction Language is a thing of beauty. But mastering a new language from scratch is quite a daunting prospect. If you’ve ever picked up a language that wasn’t your mother tongue, you’ll relate to this! There are so many layers to peel off and syntaxes to consider – it’s quite a challenge. […]

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. […]

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