WebCrawler and NLP System - Prototype NLP Solution - IT Assignment Help

Assignment Task

Learning outcomes

• Apply NLP data science skills, knowledge, and techniques to solve problems in data science NLP projects with a focus on web crawler and content extraction from webpages.
• Apply NLP tasks in Python
• Understand how to deploy data science projects into production pipelines
• Effectively communicate the results of the project as a video

Background
Many NLP solutions are comprised of multiple NLP tasks jointly working together. The auto complete function in a programming IDE is an example where there is an NLP NER task identifying the names of the variables and functions which feeds into an NLP semantic parser to trap simple errors before compiling/running. Another example is website forms. On many web forms, address matching and prediction NLP tasks jointly run on incomplete user input to suggest addresses. Predictive addressing is a useful tool to ensure accurate user input and mitigates human errors.
You don’t need to produce an end-to-end solution in this assignment task but you need to clearly indicate what the targeted problem is, the adoption issues that a wider solution might have and how your project can reasonably contribute towards addressing it using NLP tasks.

Tasks
This assessment comprises of four tasks
1. Defining of a single issue to be investigated or address using NLP methodologies
2. Sourcing data from webpages and supplementing data from knowledge sources relevant to the issue
3. Developing proto-type NLP tasks that contribute towards addressing the issue
4. Publishing and communicating your contributions to a development team

Deliverables - For this assessment, you are to produce a set of three Markdown documents and a three- minute video presentation which are aligned to the assessment tasks.

For each NLP task, provide:
a. Brief literature review of the NLP task
b. Rational for selection of the NLP task
c. Data pre-processing of inputs and outputs, separate from the WebCrawler harvesting
d. Specification and justification of hyperparameter

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