Published Jul 19, 2021

Predicting Stock Prices

Kyle Polich delves into Andrea Fronzetti Colladon's cutting-edge research using social network analysis and text analytics to predict stock prices, revealing how tools like the Semantic Brand Score can decode communication patterns and market trends for refined organizational insights.

Episode Highlights

Topics covered

Episode Highlights

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Dexa/Kyle Polich

Predicting Stock Prices

Topics covered

Popular Clips

Measuring Consumer Confidence

Semantic Brand Score

Analyzing Honest Signals

Brand Image Metrics

Market Signals Unveiled

Simplifying Topic Modeling

Consumer Sentiment Shift

Global Academic Collaborations

Semantic Brand Score

Social Network Dynamics

Time Series Insights

Simplifying Brand Metrics

Episode Highlights

Social Network Analysis

Semantic Brand Score

Text Analytics in Finance

Related Episodes

Unstructured Data for Finance

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Emoji as a Predictor

Stealing Models from the Cloud

Election Predictions

Semantic search at Github

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Social Networks

Analysis of Unstructured Data

GANs in Finance

Modeling Fake News

Time Series for Good

CAREER Prediction

Opportunities for Skillful Weather Prediction

Computer-based Personality Judgments

Predicting Stock Prices

Topics covered

Popular Clips

Episode Highlights

Social Network AnalysisAndrea Fronzetti Colladon explores the use of social network analysis to map communication behaviors and analyze honest signals. His work reveals the potential of these techniques in understanding human interaction and improving organizational practices.

Social Network Analysis

Semantic Brand ScoreAndrea Fronzetti Colladon discusses the Semantic Brand Score, a tool for analyzing word networks to understand brand significance. This innovative approach simplifies complex brand data, offering actionable insights into market trends and societal awareness.

Semantic Brand Score

Text Analytics in FinanceAndrea Fronzetti Colladon, from the University of Perugia, discusses innovative methods for predicting stock prices using NLP and text analytics. He highlights the Semantic Brand Score and its role in analyzing social networks to forecast market trends.

Text Analytics in Finance

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