Academia:

In academic circles, this challenge has sparked interest in advancing NLP techniques, specifically focusing on sentiment analysis. Studies have concentrated on developing and refining algorithms like VADER (Valence Aware Dictionary and sEntiment Reasoner) to achieve nuanced sentiment analysis. Research explores how such sophisticated tools can discern positive, neutral, and negative tones within large and complex textual datasets, emphasizing context-aware processing and scalability.

Problem:

• Time-intensive manual processes were prone to inaccuracies, leading to data inefficiencies while hindering effective decision-making

• Ineffective tracking of legal and factor changes within firm investments

Real World Application:

AltheonAI came up with a unique methodology to not only automatically ingest and summarize various news and journalism daily, but also strategically track legal and factor changes through a timeline. Our solution allowed for the database to learn from past news and draw similarities and conclusions.

Impact:

• Condensed weeks’ worth of manual article analysis into seconds

• Provided comprehensive insights encapsulating a depth of analysis traditionally requiring extensive human expertise, allowing for analysts to direct attention towards higher business growth opportunities