NU/1979 Natural Language Processing – Orthognathic Treatment

Tender description

The scope of this project is to undertake a series of stages involved in the timely and successful delivery of the project that aims to identify the sentiments of patients globally who have undergone orthognathic surgery and identify the topics that influenced the patients' sentiments. The following stages have to be completed by the service provider: • Data collection using the keywords provided by the research team from platforms such as Twitter, patient blogs, vlogs, and YouTube videos. The data should be no longer than three years old. All data will have to be converted to a textual format. • Data cleaning • Data analysis using Natural language processing methods such as sentiment analysis followed by topic modelling. • Visualisation of results in an easy-to-understand and precise manner. The service providers must work closely with the research team to adjust and refine the data science models according to the project's needs. They must continue supporting the research team with the methodology until the project ends. They will also have to support the team with any clarifications regarding the methodology during the research publication. Unfortunately, it is unknown how much data will be collected over the period, please provide tiered pricing based on amount of data collected if a single value cannot be provided. Keywords: data collection, visualisation, NLP Processing, data