November 4, 2020 Intermediate, Libraries, NLP, Swift, Technique, Text, Unstructured Data, Word Embeddings Leave a comment

Create Natural Language Processing based Apps for iOS in Minutes! (using Apple’s Core ML 3)

Overview Intrigued by Apple’s iOS apps? Learn how to build Natural Language Processing (NLP) iOS apps in this article We’ll be using Apple’s Core ML 3 to build these NLP iOS apps This is a hands-on step by step tutorial with code Introduction I love working in the Natural Language Processing (NLP) space. The last couple of years have been a goldmine for me – the level and quality of developments have been breathtaking. But this comes with its […]

October 31, 2020 Intermediate, NLP, Python, Technique, Unsupervised, Word Embeddings Leave a comment

An Essential Guide to Pretrained Word Embeddings for NLP Practitioners

Overview Understand the importance of pretrained word embeddings Learn about the two popular types of pretrained word embeddings – Word2Vec and GloVe Compare the performance of pretrained word embeddings and learning embeddings from scratch Introduction How do we make machines understand text data? We know that machines are supremely adept at dealing and working with numerical data but they become sputtering instruments if we feed raw text data to them. The idea is to create a representation of words […]

September 29, 2020 Advanced, NLP, Project, Python, Ranking, Technique, Text, Unstructured Data, Word Embeddings Leave a comment

Information Retrieval using word2vec based Vector Space Model

Overview Learn about Information Retrieval (IR), Vector Space Models (VSM), and Mean Average Precision (MAP) Create a project on Information Retrieval using word2vec based Vector Space Model Introduction “Google it!”- Isn’t it something we say every day? Whenever we come across something that we don’t know about, we “Google it.” Google Search is a great tool that can be used for even finding a needle from a haystack. This generation absolutely relies on Google for answers to all kinds […]

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