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Natural Language Understanding is a collection of APIs that offer text analysis through natural language processing. This set of APIs can analyze text to help you understand its concepts, entities, keywords, sentiment, and more. Additionally, you can create a custom model for some APIs to get specific results that are tailored to your domain. This system is for demonstration purposes only and is not intended to process Personal Data.
The purpose of this project was to create a demonstration of different NLP processes and it was divided into two phases:
This phase will cover the creation and testing of different NLP approaches.
NLP approaches that we would like to cover include:
Some of these approaches will require finding and exploring data, data preprocessing, model training, and similar.
Some NLP approaches have already been developed. These should be included in the web application only:
This stage should last 1.5 to 2 months and includes:
Note: Limited to English language only.
The web application consists of two parts:
You can find some inspiration regarding the application page for algorithm demonstration here:
The dashboard for model retraining should contain a page for data relabeling for different use cases (e.g. relabeling for sentiment, relabeling for emotion) as well as the relabeling trigger button.