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NLP & ML for Vaccine Intelligence and Investment Signals

Mining 50M+ social posts and 100+ trials for investment insight

Delivered a data-driven Covid-19 vaccine analysis and investment product — applying NLP, sentiment analysis and ML across 100+ vaccine trials, 50M+ social posts and 10,000 news articles to surface investment signals on 50+ vaccine stocks.

PythonNLPspaCyMachine LearningAWSAWS GluePySparkSQLAzurePower BI
Problem Statement

At the height of the pandemic, decision-makers were drowning in noise. Vaccine trials, social media, news and stock data held the answers — but extracting reliable insight on efficacy, sentiment and investment risk from that flood of unstructured information was beyond manual reach.

  • Critical signal was buried across vaccine trials, social media, news and market data.
  • No unified way to assess vaccine efficacy, public sentiment and investment risk.
  • Manual analysis could not keep pace with a fast-moving, high-stakes landscape.
Headline Outcomes
50M+NLP at scale

Social posts analysed

50+top-10 signals

Vaccine stocks forecast

4trials · social · news · market

Sources fused

The Solution

An end-to-end NLP and machine-learning product — ingesting 100+ vaccine trials, 50M+ social posts and 10,000 news articles, classifying misinformation, scoring sentiment across 20M+ posts, and forecasting prices for 50+ vaccine stocks into a top-10 buy/sell recommendation.

NLP pipeline (spaCy + custom models) analysed 100+ trials, 50M+ posts and 10,000 articles.

Sentiment analysis classified 20M+ tweets and comments as positive, negative or neutral.

Detected false or misleading vaccine claims across news sources.

Regression models forecast prices for 50+ vaccine stocks into a top-10 buy/sell list.

System Architecture

How the data flows

01

Multi-Source Ingest

Trials · social · news · market

02

NLP + spaCy

Entity & claim extraction

03

Sentiment ML

20M+ posts scored

04

Price Forecasting

Regression on 50+ stocks

05

Power BI

Top-10 recommendations

Result 01

Gave stakeholders clear, data-backed vaccine and investment insight.

Result 02

Turned 50M+ noisy social signals into structured sentiment intelligence.

Result 03

Delivered actionable top-10 buy/sell recommendations on vaccine stocks.

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