Ai For Social Listening And Sentiment Analysis: Understanding Customer Opinions And Trends

Introduction

AI for Social Listening and Sentiment Analysis training empowers professionals to leverage artificial intelligence to gain deep insights into customer opinions and emerging trends across social media platforms. This course focuses on analyzing AI algorithms for sentiment detection, implementing social listening tools, and understanding the impact of real-time data on brand reputation and marketing strategies. Participants will learn to utilize natural language processing (NLP) for trend identification, automate sentiment analysis reports, and understand the intricacies of using AI to predict customer behavior and market shifts. By mastering AI-powered social listening, professionals can enhance their ability to proactively address customer concerns, capitalize on emerging opportunities, and contribute to a more responsive and data-driven marketing strategy.

The increasing volume of social media data necessitates a comprehensive understanding of AI-driven social listening and sentiment analysis best practices. This course delves into the nuances of machine learning for emotion detection, social network analysis, and AI-powered crisis management, empowering participants to develop and implement tailored social listening strategies. By integrating AI expertise with social media marketing acumen, this program enables individuals to lead initiatives that maximize brand intelligence and drive strategic decision-making.

Target Audience:

• Social media managers
• Marketing analysts
• Brand managers
• Public relations professionals
• Customer service managers
• Market research analysts
• Data analysts
• Marketing directors
• Individuals interested in AI social listening
• Business intelligence analysts

Course Objectives:

• Understand the principles and potential of AI in social listening and sentiment analysis.
• Implement techniques for utilizing AI algorithms for sentiment detection and emotion analysis.
• Understand the role of natural language processing (NLP) in trend identification and topic analysis.
• Implement techniques for using social listening tools and platforms for data collection and analysis.
• Understand the principles of social network analysis and community detection.
• Implement techniques for automating sentiment analysis reports and dashboards.
• Understand the role of AI in predicting customer behavior and market shifts from social data.
• Implement techniques for integrating social listening data with CRM and marketing automation systems.
• Understand the legal and ethical considerations related to social media data and privacy.
• Develop strategies for utilizing social listening insights for brand reputation management and crisis communication.

DURATION

5 Days

COURSE CONTENT

Module 1: Foundations of AI Social Listening

• Principles and potential of AI in social listening and sentiment analysis.
• Understanding AI technologies and applications in social media monitoring.
• Benefits of utilizing AI for understanding customer opinions and trends.
• Historical context and evolution of social listening.

Module 2: AI Algorithms for Sentiment Detection

• Techniques for utilizing AI algorithms for sentiment detection and emotion analysis.
• Implementing machine learning for sentiment classification and polarity analysis.
• Utilizing AI for emotion recognition and contextual sentiment analysis.
• Managing AI sentiment detection.

Module 3: Natural Language Processing (NLP) for Trend Identification

• Role of natural language processing (NLP) in trend identification and topic analysis.
• Understanding NLP techniques for keyword extraction and topic modeling.
• Implementing NLP for trend analysis and emerging pattern detection.
• Managing NLP trend analysis.

Module 4: Social Listening Tools and Platforms

• Techniques for using social listening tools and platforms for data collection and analysis.
• Implementing social media monitoring platforms and APIs.
• Utilizing data visualization and reporting features.
• Managing social listening tools.

Module 5: Social Network Analysis and Community Detection

• Principles of social network analysis and community detection.
• Understanding social network metrics and visualization.
• Implementing community detection algorithms and influencer identification.
• Managing social network analysis.

Module 6: Automated Sentiment Analysis Reports

• Techniques for automating sentiment analysis reports and dashboards.
• Implementing data aggregation and reporting tools.
• Utilizing AI for automated insights generation and reporting.
• Managing automated reports.

Module 7: Predicting Customer Behavior and Market Shifts

• Role of AI in predicting customer behavior and market shifts from social data.
• Understanding predictive modeling and forecasting techniques.
• Implementing AI for customer behavior prediction and trend forecasting.
• Managing predictive analysis.

Module 8: Integration and Ethical Considerations

• Techniques for integrating social listening data with CRM and marketing automation systems.
• Implementing API integration and data synchronization.
• Utilizing social listening insights for brand reputation management and crisis communication.
• Managing ethical data use.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 5 working days before commencement of the training.