Data Science

Named Entity Recognition: Milestone Models, Papers and Technologies

Named Entity Recognition: Extracting named entities from text Named Entity Recognition (NER), or entity extraction is an NLP technique which locates and classifies the named entities present in the text. Named Entity Recognition classifies the named entities into pre-defined categories such as the names of persons, organizations, locations, quantities, monetary values, specialized terms, product terminology and   →

Breakthrough Research Papers About Image Recognition

Deep Learning models for Image Classification have been growing in terms of accuracy over the last few years. Deep Learning has become prime focus area for AI research. However, Deep Learning has been around for a few decades now. Yann Lecun, presented a paper pioneering the Convolutional Neural Networks (CNN) in 1998. But it wasn’t   →

List of Free Must-Read Machine Learning Books

Machine learning is an application of artificial intelligence that gives a system an ability to automatically learn and improve from experiences without being explicitly programmed. In this article, we have listed some of the best free machine learning books that you should consider going through (no order in particular). Mining of Massive Datasets Author: Jure   →

Identifying Fake Accounts and Twitter Bots using Artificial Intelligence

The connectivity, the world has achieved due to social media has a flip-side to it. It has been extensively reported that incidences of spamming by bots and fake accounts on Twitter have been increasing. Such accounts can help trend and spread Fake News and opinions, creating confusions and potentially, spreading rumors. Also, using bots and   →

Emotion Detection Using Machine Learning

Pulling out context from the text is one of the most remarkable procurements obtained using NLP. A few years back, context extraction was to detect the sentiment from the text and then the definition took a step forward towards emotion detection. These two are very different terms. The sentiment can be positive, negative, neutral while   →

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