Case Study Details

Text Classification

Focus

Development of AI models to classify scraped content from documents and web pages.

Approach

The client was an online platform that collected, stored and analysed a vast quantity of media data from a significant number of webpages and sources.

The analysis and filtering of this information required a sophisticated classification model for characteristics such as industry and content tags for documents, media releases and social media posts.

The solution involved the experimentation then development of a natural language processing techniques utilising neural networks and support vector machines with word embeddings.

Outcome

• Increased accuracy of classification
• Enhanced platform experience