Articles About Natural Language Processing

October 29, 2020 Advanced, Deep Learning, NLP, Project, Python, Sequence Modeling, Supervised, Text, Unstructured Data Leave a comment

A Must-Read NLP Tutorial on Neural Machine Translation – The Technique Powering Google Translate

Introduction “If you talk to a man in a language he understands, that goes to his head. If you talk to him in his own language, that goes to his heart.” – Nelson Mandela The beauty of language transcends boundaries and cultures. Learning a language other than our mother tongue is a huge advantage. But the path to bilingualism, or multilingualism, can often be a long, never-ending one. There are so many little nuances that we get lost in the […]

October 29, 2020 Career, Computer Vision, Intermediate, Listicle, Machine Learning, NLP, Project Leave a comment

8 Awesome Data Science Capstone Projects from Praxis Business School

Introduction It is not the strongest or the most intelligent who will survive but those who can best manage change. Evolution is the only way anything can survive in this universe. And when it comes to industry relevant education in a fast evolving domain like Machine Learning and Artificial Intelligence – it is necessary to evolve or you will simply perish (over time). I have personally experienced this first hand while building Analytics Vidhya. It still amazes me to see […]

October 29, 2020 Algorithm, Intermediate, NLP, Python, Sequence Modeling, Supervised, Text, Unstructured Data Leave a comment

OpenAI’s GPT-2: A Simple Guide to Build the World’s Most Advanced Text Generator in Python

Overview Learn how to build your own text generator in Python using OpenAI’s GPT-2 framework GPT-2 is a state-of-the-art NLP framework – a truly incredible breakthrough We will learn how it works and then implements our own text generator using GPT-2 Introduction “The world’s best economies are directly linked to a culture of encouragement and positive feedback.” Can you guess who said that? It wasn’t a President or Prime Minister. It certainly wasn’t a leading economist like Raghuram Rajan. […]

October 29, 2020 Computer Vision, Data Visualization, Github, Graphs & Networks, Intermediate, Listicle, NLP, Python Leave a comment

6 Exciting Open Source Data Science Projects you Should Start Working on Today

Overview Here are six open-source data science projects to enhance your skillset These projects cover a diverse set of domains, from computer vision to natural language processing (NLP), among others Pick your favorite open-source data science project(s) and get coding! Introduction I recently helped out in a round of interviews for an open data scientist position. As you can imagine, there were candidates from all kinds of backgrounds – software engineering, learning and development, finance, marketing, etc. What stood […]

October 29, 2020 Beginner, Libraries, NLP, Python, Technique, Text, Unstructured Data Leave a comment

spaCy Tutorial to Learn and Master Natural Language Processing (NLP)

Introduction spaCy is my go-to library for Natural Language Processing (NLP) tasks. I’d venture to say that’s the case for the majority of NLP experts out there! Among the plethora of NLP libraries these days, spaCy really does stand out on its own. If you’ve used spaCy for NLP, you’ll know exactly what I’m talking about. And if you’re new to the power of spaCy, you’re about to be enthralled by how multi-functional and flexible this library is. The factors […]

October 29, 2020 Advanced, Algorithm, Deep Learning, NLP, Text, Unstructured Data Leave a comment

MobileBERT: BERT for Resource-Limited Devices

For a second, let’s focus solely on the teacher. If we continuing the path past the MHA-block, things remain the same compared to a vanilla transformer block until we reach the second “Add & Norm” operation. After this layer, we have a bottleneck transform, this time to reduce the dimension back to that of the input. This allows us to perform another Add & Norm operation with the transformer block input before feeding the result onto the next block. Stacked […]

October 29, 2020 Advanced, Call Center, NLP, Python, Structured Data Leave a comment

NLP Applications in Support Call Centers

This article was published as a part of the Data Science Blogathon. Introduction This article is in continuation of my previous article on using Machine learning in Support environments. I shared my views on, how using simple python code we can enrich our call centers/support division activities in our own organization or customer organization. In that article, I shared an insight into what and how we can make a difference to the current environment using ML in giving better service […]

October 22, 2020 MT evaluation, NLP

Issue #104 – Using Test Sets to Evaluate Machine Translation

22 Oct20 Issue #104 – Using Test Sets to Evaluate Machine Translation Author: Dr. Karin Sim, Machine Translation Scientist @ Iconic Introduction There is finally a growing acceptance in some circles that evaluation of Machine Translation (MT) is lagging behind progress in Neural MT (NMT). Especially with regards to metrics such as BLEU, there is a recognition that “as NMT continues to improve, these metrics will inevitably lose their effectiveness” (Isabelle et al., 2017). In today’s blog post, we look […]

October 17, 2020 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 […]

October 17, 2020 Computer Vision, Datasets, Deep Learning, Image, Listicle, NLP, Research & Technology, Text, Unstructured Data Leave a comment

25 Open Datasets for Deep Learning Every Data Scientist Must Work With

Introduction The key to getting better at deep learning (or most fields in life) is practice. Practice on a variety of problems – from image processing to speech recognition. Each of these problem has it’s own unique nuance and approach. But where can you get this data? A lot of research papers you see these days use proprietary datasets that are usually not released to the general public. This becomes a problem, if you want to learn and apply your […]

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