Python Natural Language Processing

Agile way of working to achieve success

NLP or any other data science-related projects need many iterations to get optimal output. You need to understand the problem statement. After this, to achieve the best result, you need to start with an analysis of your data. After analyzing the data, make a basic prototype. Then validate your model. If it gives you the best result, then you are done; if not, then try to implement different algorithms, do hyperparameter tuning, or change or improve your features set. You need to be agile in your working process. Try to identify your problem or mistake and then do smart iterations. Ask questions on stack overflow. Try to search for answers. This will really help you. Keep yourself updated with all the ...