Category: Python

Python tutorials

Intermediate, Libraries, NLP, Programming, Python, Text, Unstructured Data Leave a comment

FlashText – A library faster than Regular Expressions for NLP tasks

People like me working in the field of Natural Language Processing almost always come across the task of replacing words in a text. The reasons behind replacing the words may be different. Some of them are. “would’ve” and “would have” represent the same thing. So changing all the occurrences of “would’ve” to “would have” is one such task. Changing all Case Variations to a single form i.e Python, pytHon, pYthon, pythoN etc. to python Changing all the synonyms of a word to […]

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Algorithm, Data Science, Intermediate, Machine Learning, NLP, Python, Technique, Text, Topic Modeling, Unstructured Data, Unsupervised Leave a comment

Text Mining 101: A Stepwise Introduction to Topic Modeling using Latent Semantic Analysis (using Python)

Introduction Have you ever been inside a well-maintained library? I’m always incredibly impressed with the way the librarians keep everything organized, by name, content, and other topics. But if you gave these librarians thousands of books and asked them to arrange each book on the basis of their genre, they will struggle to accomplish this task in a day, let alone an hour! However, this won’t happen to you if these books came in a digital format, right? All the […]

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Advanced, NLP, Project, Python, Sequence Modeling, Sports, Supervised, Text, Unstructured Data Leave a comment

Learn how to Build and Deploy a Chatbot in Minutes using Rasa (IPL Case Study!)

Introduction Have you ever been stuck at work while a pulsating cricket match was going on? You need to meet a deadline but you just can’t concentrate because your favorite team is locked in a fierce battle for a playoff spot. Sounds familiar? I’ve been in this situation a lot in my professional career and checking my phone every 5 minutes was not really an option! Being a data scientist, I looked at this challenge from the lens of an […]

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Entertainment, Graphs & Networks, Intermediate, NLP, Project, Python, Technique, Text, Unstructured Data Leave a comment

Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code)

Overview Knowledge graphs are one of the most fascinating concepts in data science Learn how to build a knowledge graph to mine information from Wikipedia pages You will be working hands-on in Python to build a knowledge graph using the popular spaCy library   Introduction Lionel Messi needs no introduction. Even folks who don’t follow football have heard about the brilliance of one of the greatest players to have graced the sport. Here’s his Wikipedia page: Quite a lot of […]

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Advanced, Deep Learning, NLP, Project, Python, Supervised, Text, Unstructured Data Leave a comment

Transfer Learning for NLP: Fine-Tuning BERT for Text Classification

Introduction With the advancement in deep learning, neural network architectures like recurrent neural networks (RNN and LSTM) and convolutional neural networks (CNN) have shown a decent improvement in performance in solving several Natural Language Processing (NLP) tasks like text classification, language modeling, machine translation, etc. However, this performance of deep learning models in NLP pales in comparison to the performance of deep learning in Computer Vision. One of the main reasons for this slow progress could be the lack of […]

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Advanced, NLP, Python, Social Media, Technique, Text, Unsupervised Leave a comment

Elon Musk AI Text Generator with LSTMs in Tensorflow 2

Introduction Elon Musk has become an internet sensation over the past couple of years, with his views about the future, funny personality along with his passion for technology. By now everyone knows him, either as that electric car guy, or that guy who builds flamethrowers. He is mostly active on his Twitter, where he shares everything, Even memes! He inspires a lot of young people in the IT industry, and I wanted to do a fun little project, where I […]

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python_tutorials
Python

Generating Synthetic Data with Numpy and Scikit-Learn

Introduction In this tutorial, we’ll discuss the details of generating different synthetic datasets using Numpy and Scikit-learn libraries. We’ll see how different samples can be generated from various distributions with known parameters. We’ll also discuss generating datasets for different purposes, such as regression, classification, and clustering. At the end we’ll see how we can generate a dataset that mimics the distribution of an existing dataset. The Need for Synthetic Data In data science, synthetic data plays a very important role. […]

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python_tutorials
Python

Python: Get Number of Elements in a List

Introduction Getting the number of elements in a list in Python is a common operation. For example, you will need to know how many elements the list has whenever you iterate through it. Remember that lists can have a combination of integers, floats, strings, booleans, other lists, etc. as their elements: # List of just integers list_a = [12, 5, 91, 18] # List of integers, floats, strings, booleans list_b = [4, 1.2, “hello world”, True] If we count the […]

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Beginner, Business Analytics, Infographic, Infographics, NLP, Python, Technique, Text, Unstructured Data Leave a comment

Quick Guide: Steps To Perform Text Data Cleaning in Python

Introduction Twitter has become an inevitable channel for brand management. It has compelled brands to become more responsive to their customers. On the other hand, the damage it would cause can’t be undone. The 140 character tweets has now become a powerful tool for customers / users to directly convey messages to brands. For companies, these tweets carry a lot of information like sentiment, engagement, reviews and features of its products and what not. However, mining these tweets isn’t easy. Why? Because, before you mine this data, you need […]

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Intermediate, Machine Learning, NLP, Programming, Python, Technique, Text, Unstructured Data Leave a comment

Introduction to Structuring Customer complaints explained with examples

Introduction In past, if you were not particularly happy with a service or a product, you would go to the service provider or the shop and lodge a complaint. With services-businesses going online and due to enormous scale, lodging complaints in-person may not be always possible. Electronic ways such as emails, social media and particularly websites like www.consumercomplaints.in focusing on such issues, are widely used platforms to vent out the anger as well as publicizing the issue in expectancy of […]

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