Comprehensive Hands on Guide to Twitter Sentiment Analysis with dataset and code

Introduction Natural Language Processing (NLP) is a hotbed of research in data science these days and one of the most common applications of NLP is sentiment analysis. From opinion polls to creating entire marketing strategies, this domain has completely reshaped the way businesses work, which is why this is an area every data scientist must be familiar with. Thousands of text documents can be processed for sentiment (and other features including named entities, topics, themes, etc.) in seconds, compared to […]

Read more

Natural Language Processing for Beginners: Using TextBlob

Introduction Natural Language Processing (NLP) is an area of growing attention due to increasing number of applications like chatbots, machine translation etc. In some ways, the entire revolution of intelligent machines in based on the ability to understand and interact with humans. I have been exploring NLP for some time now.  My journey started with NLTK library in Python, which was the recommended library to get started at that time. NLTK is a perfect library for education and research, it becomes […]

Read more

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, […]

Read more

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 […]

Read more

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 […]

Read more

Top 6 Open Source Pretrained Models for Text Classification you should use

Introduction We are standing at the intersection of language and machines. I’m fascinated by this topic. Can a machine write as well as Shakespeare? What if a machine could improve my own writing skills? Could a robot interpret a sarcastic remark? I’m sure you’ve asked these questions before. Natural Language Processing (NLP) also aims to answer these questions, and I must say, there has been groundbreaking research done in this field towards bridging the gap between humans and machines. One […]

Read more

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 […]

Read more

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 […]

Read more

Simple Text Multi Classification Task Using Keras BERT

This article was published as a part of the Data Science Blogathon. Introduction BERT is a really powerful language representation model that has been a big milestone in the field of NLP. It has greatly increased our capacity to do transfer learning in NLP. It comes with great promise to solve a wide variety of NLP tasks. Definitely you will gain great knowledge by the end of this article, keep reading. I am sure you will get good hands-on experience […]

Read more

Get Started with PyTorch – Learn How to Build Quick & Accurate Neural Networks (with 4 Case Studies!)

Introduction PyTorch v TensorFlow – how many times have you seen this polarizing question pop up on social media? The rise of deep learning in recent times has been fuelled by the popularity of these frameworks. There are staunch supporters of both, but a clear winner has started to emerge in the last year. PyTorch was one of the most popular frameworks in 2018. It quickly became the preferred go-to deep learning framework among researchers in both academia and the […]

Read more
1 2 3 4 5