Project 1-Please find the details below as required for project "NLP- Rapid evidence collection and analysis": - Tasks involve a method to collect the Heathrow Third Runway Expansion responses from Twitter and encoding the responses

Project 1-Please find the details below as required for project "NLP- Rapid evidence collection and analysis": - Tasks involve a method to collect the Heathrow Third Runway Expansion responses from Twitter and encoding the responses. Twitter groups like: https://twitter.com/stopheathrowexp, https://twitter.com/nor3coalition, https://twitter.com/heathrown oise?lang=en etc… - Using Natural Language Processing (NLP) which enables the rapid development of tools to analyse text data using a technique which I have selected as 'sentiment analysis'. Cumulative people sentimental analysis- neutral, positive and negative for Heathrow Expansion as a whole. - Once analysis and model are trained, develop a prototype analysis tool to support the rapid collection, critically evaluate and analyse evidence to evidence assessment, analysis, and support evidence-based decision-making process. - We must make sure that by using NLP in the area where there is a need to quickly analyse large volumes of textual data- questionnaire response analysis. - Potentially create dashboards (using D3.js and Ajax) in the project. - Poster preparation. - Thesis Documentation

Project - 2
Please find the details below as required for project "NLP- Rapid evidence collection and analysis": - Tasks involve a method to collect the Heathrow Third Runway Expansion responses from Twitter and encoding the responses. Twitter groups like: https://twitter.com/stopheathrowexp, https://twitter.com/nor3coalition, https://twitter.com/heathrown oise?lang=en etc… - Using Natural Language Processing (NLP) which enables the rapid development of tools to analyse text data using a technique which I have selected as 'sentiment analysis'. Cumulative people sentimental analysis- neutral, positive and negative for Heathrow Expansion as a whole. - Once analysis and model are trained, develop a prototype analysis tool to support the rapid collection, critically evaluate and analyse evidence to evidence assessment, analysis, and support evidence-based decision-making process. - We must make sure that by using NLP in the area where there is a need to quickly analyse large volumes of textual data- questionnaire response analysis. - Potentially create dashboards (using D3.js and Ajax) in the project. - Poster preparation. - Thesis Documentation