Interaction Assessment
Big Data Knowledge
Exploring Unstructured Data with Text
Techniques for Successful Predictive Analysis
Communicating Metrics Visually
Text Analytics for Crisis Management Strategies
Key Applications of Neural Networks
Big Data Knowledge 
Source Description Social Media User-generated content,
interactions, and engagement data from platforms like Facebook, Twitter, and Instagram
...Finance: Fraud detection and risk
assessment using advanced analytics
...
Exploring Unstructured Data with Text Finance Risk
Assessment Monitoring news articles and reports to identify potential risks
...most common methods include: Natural Language Processing (NLP): A field of artificial intelligence that focuses on the
interaction between computers and human language
...
Techniques for Successful Predictive Analysis This may involve: Creating
interaction terms Transforming variables (e
...Credit scoring, risk
assessment Random Forest An ensemble method that uses multiple decision trees to improve prediction accuracy
...
Communicating Metrics Visually Facilitates Quick Decision-Making: Well-designed visuals allow for rapid
assessment of performance metrics, aiding timely decisions
...Improves Engagement: Engaging visuals capture attention and encourage
interaction, fostering a deeper connection with the data
...
Text Analytics for Crisis Management Strategies of text analytics include: Natural Language Processing (NLP): A field of artificial intelligence that focuses on the
interaction between computers and humans through natural language
...The Role of Text Analytics in Crisis Management Crisis management involves the identification,
assessment, and response to potential threats that can disrupt an organization’s operations
...
Key Applications of Neural Networks Customer Behavior Prediction: By analyzing past customer
interactions, neural networks can predict future buying behaviors and preferences
...Key areas of application include: Credit Risk
Assessment: Financial institutions use neural networks to evaluate the creditworthiness of borrowers based on their credit history and other relevant factors
...
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