NLP

Predicting Flu Outbreaks with Twitter

Predicting Flu Outbreaks with Twitter

The use of Twitter and natural language processing opens up a promising new approach to flu surveillance. Such data-driven methods produce encouraging results and provide a faster way to identify flu surges.

Further, these Twitter-based methods can be very easily applied to numerous other domains such as Marketing, for identifying geospatial trends in brand image, as well as in Urban Planning for analyzing public attitudes towards various spaces and landmarks for example.

Understanding Speech Recognition: An Introduction

This blog focuses on developing an algorithm to understand spoken Arabic digits. Such algorithms are the first step in developing computers that can understand languages with applications ranging from text-to-speech, voice-recognition, and translation, to modern AI assistants that are widely becoming available.

Natural Language Processing: Document Classification

Natural Language Processing: Document Classification

Document classification is currently one of the most important branches of Natural Language Processing (NLP). The general idea is to automatically classify documents into categories using machine learning algorithms.

The applications are almost endless, we can classify: patient records, movie reviews, webpages, emails (spam vs not spam), and in fact anything text based.