Evaluation
Evidence against NSDC
- To research on theory and principles of machine learning
Research was carried out to understand how machine learning was initiated including theory behind it along with principles of machine learning. With critical analysis and evaluation, the theory and principles are listed in previous tabs theory and principles. The listed principles are considered while developing a machine learning model.
- To understand Natural Language Processing (NLP) and statistical techniques
I have followed several online resources like Edureka, tutorials point and research articles for getting insights and understanding processes and steps in NLP. As evidenced the basic concept of NLP, its components and techniques are described in previous tab theory. The theory has been put into the practice which is evidenced in tab Code.
- To explore new programming language python in regards to data science
Following online courses and tutorials, I have learnt the foundations of python language, NLP processes adjoining with machine learning model. The tutorials have led me to understand how a model can be built with text analysis.
- To cohere with the requirements of Leeds Beckett University
Since, basics of machine learning and data analysis was already taught in semester 1. The project I have chosen includes machine learning and data analysis, hence I believe it meets the academic level of Master's program fulfilling the requirement of Leeds Beckett University.
- To formulate a machine learning model that includes above mentioned skills
The final model has been displayed in previous tab Final model and the outcome will also be demonstrated through presentation.
Future recommendations
The model that has been developed can be made more efficient with large amount of resources and incorporate more techniques from NLP to increase accuracy in prediction of the sentiment.