Metals & Mining - Natural Language Processing Dashboard

utils.config and utils.db_toolbox functions are not provided!

Prototype, unoptimised.

Todo:

1. Create classes, reduce repeated code.
2. Optimise SpaCy NLP functions and querying (pre-load data?).
3. Data exploratory analysis on topic, term, n-gram, geotags and named entity recognition (NER) correlations with price.
4. Equity analysis for company share price correlation with natural language processing (NLP) variables.

Built for a data visualisation web application using Python, SpaCy natural language processing and Plotly Dash.

Timeseries analysis

Identifying correlation between price, sentiment and frequency for various metals.

Descriptive statistics

Natural Language analysis

Identifying location, syntax usage, n-grams, and NER classified by sentiment and metal type.