Model to Predict Rare Diseases / Method to Determine Hate-Speech

Case Study for Natural Language Processing

Case study for Natural Language Processing
Case study for Natural Language Processing

BACKGROUND

NLP is a subfield in AI which enables the interaction between computers and humans using natural language. We at SAKS Analytic use NLP to come up with insights, predictions and models. Healthcare patient records are a rich source of information with large volumes of data, in semi-structured or unstructured formats.

Ongoing projects are, predicting rare diseases using symptoms and identifying hate-speech in social media platforms.

PROBLEM

Most of the data have to be obtained in unstructured formats making analyzing, modeling and predicting considerably challenging.

SOLUTION

Building a predictive model to predict rare diseases after extracting data from unstructured formats using NLP.

Identifying a novel method to determine hate-speech and offensive communication in social media platforms using NLP, Machine Learning and Deep learning techniques.

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