Notes 3-30-24

 

The items below are the development that needs to be completed.

Please provide individual status updates for 4/2/24 meeting

Also, need a working model funning on VM (scoring model) and front end, app engine project. Working model does not need to be complete only what is developed and ready for the analysts.

Company Info Table	Flask process tp store data in Company Info
Topics Table	Flask process to store data in Topics
Graph Input	Flask to drive Mathplotlib graphs
Graph Average Scores	Graph to plot average scores for one company over periods selected
Graph Weighted Scores	Graph to plot weighted scores for one company over periods selected
Graph number of classifications	Graph to plot number of occurrences per classifications for one company over periods selected
Graph to plot average scores for sector	Graph to plot the average scores for each company in a selected sector for a selected period
Graph to plot weighted average scores for sector	Graph to plot the weighted average scores for each company in a selected sector for a selected period
Sentiment scoring	Program to take a conference call, identify each paragraph where a keyword appears, store the paragraph keyword and a sentiment score for that paragraph
Sentiment Detail	Program to take a scored conference call and summary each classification by average score, weighted score and number of times keyword is mentioned
Load conference calls	Flask to upload CC transcripts and execute scoring module
Validate Bank data	Need to review scores and check to make sure they are accurate
Load Topics	Load all keywords, classifications, sector and importance into table
Load Companies	Batch program to load companies to Company Info table custom key
Load exiting scores	Need load program to load existing scored data into sentiment detail table. Program needs to add Ticker
Linux	https://cloud.google.com/python/docs/getting-started/getting-started-on-compute-engine
	Prepare for Python