Python tutorials

November 10, 2020 Intermediate, Libraries, NLP, Python, Technique, Text Leave a comment

3 Important NLP Libraries for Indian Languages You Should Try Out Today!

Overview Ever wondered how to use NLP models in Indian languages? This article is all about breaking boundaries and exploring 3 amazing libraries for Indian Languages We will implement plenty of NLP tasks in Python using these 3 libraries and work with Indian languages Introduction Language is a wonderful tool of communication – its powered the human race for centuries and continues to be at the heart of our culture. The sheer amount of languages in the world dwarf […]

November 10, 2020 Advanced, NLP, Project, Python, Supervised, Text, Unstructured Data Leave a comment

Build Text Categorization Model with Spark NLP

Overview Setting up John Snow labs Spark-NLP on AWS EMR and using the library to perform a simple text categorization of BBC articles. Introduction Natural Language Processing is one of the important processes for data science teams across the globe. With ever-growing data, most of the organizations have already moved to big data platforms like Apache Hadoop and cloud offerings like AWS, Azure, and GCP. These platforms are more than capable of handling

November 9, 2020 Python

Generating Command-Line Interfaces (CLI) with Fire in Python

Introduction A Command-line interface (CLI) is a way to interact with computers using textual commands. A lot of tools that don’t require GUIs are written as CLI tools/utilities. Although Python has the built-in argparse module, other libraries with similar functionality do exist. These libraries can help us in writing CLI scripts, providing services like parsing options and flags to much more advanced CLI functionality. This article discusses the Python Fire library, written by Google Inc., a useful tool to create […]

November 9, 2020 Business Analytics, Data Mining, Intermediate, Libraries, NLP, Programming, Python, Text, Unstructured Data Leave a comment

Text Mining hack: Subject Extraction made easy using Google API

Let’s do a simple exercise. You need to identify the subject and the sentiment in following sentences: Google is the best resource for any kind of information. I came across a fabulous knowledge portal – Analytics Vidhya Messi played well but Argentina still lost the match Opera is not the best browser Yes, like UAE will win the Cricket World Cup. Was this exercise simple? Even if this looks like a simple exercise, now imagine creating an algorithm to do this? How does that […]

November 9, 2020 Classification, Intermediate, Libraries, Machine Learning, NLP, Programming, Python, Supervised, Text, Unstructured Data Leave a comment

Text Classification & Word Representations using FastText (An NLP library by Facebook)

Introduction If you put a status update on Facebook about purchasing a car -don’t be surprised if Facebook serves you a car ad on your screen. This is not black magic! This is Facebook leveraging the text data to serve you better ads. The picture below takes a jibe at a challenge while dealing with text data. Well, it clearly failed in the above attempt to deliver the right ad. It is all the more important to capture the context […]

November 9, 2020 Classification, Intermediate, Machine Learning, NLP, Python, Supervised, Technique, Text, Unstructured Data Leave a comment

Ultimate guide to deal with Text Data (using Python) – for Data Scientists and Engineers

Introduction One of the biggest breakthroughs required for achieving any level of artificial intelligence is to have machines which can process text data. Thankfully, the amount of text data being generated in this universe has exploded exponentially in the last few years. It has become imperative for an organization to have a structure in place to mine actionable insights from the text being generated. From social media analytics to risk management and cybercrime protection, dealing with text data has never […]

November 9, 2020 Classification, Machine Learning, NLP, Project, Python, Supervised, Text, Unstructured Data Leave a comment

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 […]

November 9, 2020 Deep Learning, Intermediate, Listicle, NLP, Python, Resource Leave a comment

8 Excellent Pretrained Models to get you Started with Natural Language Processing (NLP)

Introduction Natural Language Processing (NLP) applications have become ubiquitous these days. I seem to stumble across websites and applications regularly that are leveraging NLP in one form or another. In short, this is a wonderful time to be involved in the NLP domain. This rapid increase in NLP adoption has happened largely thanks to the concept of transfer learning enabled through pretrained models. Transfer learning, in the context of NLP, is essentially the ability to train a model on one dataset […]

November 9, 2020 Intermediate, NLP, Python, Technique, Text, Unstructured Data Leave a comment

How to Get Started with NLP – 6 Unique Methods to Perform Tokenization

Overview Looking to get started with Natural Language Processing (NLP)? Here’s the perfect first step Learn how to perform tokenization – a key aspect to preparing your data for building NLP models We present 6 different ways to perform tokenization on text data Introduction Are you fascinated by the amount of text data available on the internet? Are you looking for ways to work with this text data but aren’t sure where to begin? Machines, after all, recognize numbers, […]

November 9, 2020 Beginner, Data Mining, NLP, Python, Technique, Text, Unstructured Data Leave a comment

How Search Engines like Google Retrieve Results: Introduction to Information Extraction using Python and spaCy

Overview How do search engines like Google understand our queries and provide relevant results? Learn about the concept of information extraction We will apply information extraction in Python using the popular spaCy library – so a lot of hands-on learning is ahead! Introduction I rely heavily on search engines (especially Google) in my daily role as a data scientist. My search results span a variety of queries – Python code questions, machine learning algorithms, comparison of Natural Language Processing […]

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