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 Computer Vision, Intermediate, Machine Learning, NLP, Python Leave a comment

Handling Imbalanced Data – Machine Learning, Computer Vision and NLP

This article was published as a part of the Data Science Blogathon. Introduction: In the real world, the data we gather will be heavily imbalanced most of the time. so, what is an Imbalanced Dataset?. The training samples are not equally distributed across the target classes. For instance, if we take the case of the personal loan classification problem, it is effortless to get the ‘not approved’ data, in contrast to, ‘approved’ details. As a result, the model is more […]

November 6, 2020 Big data, Business Analytics, Intermediate, NLP, Technique Leave a comment

Framework to build a niche dictionary for text mining

Having the right dictionary is at the heart of any text mining analysis. Dictionary for text mining can be compared to maps while travelling in a new city. The more precise and accurate maps you use, the faster you reach to the destination. On the other hand, a wrong or incomplete map can end up confusing the traveler. Use of dictionary helps us convert unstructured text into structured data. The more precise dictionary you have for the analysis, the more accurate […]

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 Algorithm, Deep Learning, Intermediate, NLP, Sound Processing Leave a comment

An Introductory Guide to Understand how ANNs Conceptualize New Ideas (using Embedding)

Introduction Here’s something you don’t hear everyday – everything we perceive is just a best case probabilistic prediction by our brain, based on our past encounters and knowledge gained through other mediums. This might sound extremely counter intuitive because we have always imagined that our brain mostly gives us deterministic answers. We’ll do a small experiment to showcase this logic. Take a look at the below image: Q1. Do you see a human ? Q2. Can you identify the person? […]

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 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 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 […]

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