Name: A Copilot for Social Promotion
Start: 2025-07-21T18:45:00-07:00
End: 2025-07-21T20:45:00-07:00
Location: Valley Research Park

LOCATION ADDRESS (Hybrid, in person or by zoom, you choose)
Valley Research Park
319 North Bernardo Avenue
Mountain View, CA CA 93043
If you want to join remotely, you can submit questions via Zoom Q&A.

* The zoom link:
* [https://acm-org.zoom.us/j/91506316742?pwd=bwb1Vz6q6jabAS7WN5j0zude55wWb2.1](https://acm-org.zoom.us/j/91506316742?pwd=bwb1Vz6q6jabAS7WN5j0zude55wWb2.1)
* Join via YouTube:
* [https://youtube.com/live/sJ38lsfLfeU](https://youtube.com/live/sJ38lsfLfeU)

AGENDA
6:30 Door opens, food and networking (we invite honor system contributions)
**7:00** SFBayACM upcoming events, introduce the speaker
7:15 speaker presentation starts
8:15 - 8:30 finish, depending on Q&A
Join SF Bay ACM Chapter for an insightful discussion on:

**Talk Description**:
The Social Promotion Copilot (SPC) is designed to autonomously engage with users on social platforms, leveraging advanced NLP and action-oriented automation. This chapter delves into its architectural foundation, focusing on the integration of Theory of Mind to enhance SPC’s ability to interpret user emotions, predict reactions, and tailor responses dynamically. By modeling mental states, SPC can distinguish between different user intents, such as seeking support, expressing dissatisfaction, or driving discussions. This capability enables more context-aware and persuasive interactions, making SPC a more effective tool for both social engagement and marketing strategies.

Beyond cognitive modeling, the chapter also examines the run-time execution framework, detailing how SPC processes textual tasks in real-time. The system selects optimal actions based on multi-modal inputs, including textual context, sentiment analysis, and platform-specific engagement patterns. Through a structured decision-making pipeline, SPC adapts its posting and response strategies to maximize visibility and interaction. By balancing automation with adaptive intelligence, SPC transforms from a simple content-promotion tool into an autonomous social agent, capable of managing long-term engagement and fostering meaningful digital interactions, which is confirmed by evaluation on social network sites.

**Speaker Bio**:
Prof. Boris Galitsky has contributed linguistic and machine learning technologies to Silicon Valley startups as well as companies like eBay and Oracle for over 25 years. His information extraction and sentiment
analysis techniques assisted several acquisitions, such as Xoopit by Yahoo, Uptake by Groupon, Loglogic by Tibco, and Zvents by eBay. His security-related technologies of document analysis contributed to the acquisition of Elastica by Semantec.

As an architect of the Intelligent Bots project at Oracle, he developed a discourse analysis technique used for dialogue management and published in the book Developing Enterprise Chatbots. He also published a two-volume monograph, “AI for CRM”, based on his experience developing Oracle Digital Assistant. He is an Apache committer to OpenNLP, where he created OpenNLP. Similarity component, which is a basis for a semantically enriched search engine and chatbot development.

His exploration and formalization of human reasoning culminated in the book AQ1 Computational Autism broadly used by parents of children with autism spectrum disorder and rehabilitation personnel. His
focus on the medical domain led to another research monograph, “Artificial Intelligence for Healthcare Applications and Management". He is a now a professor at Stavropol Agricultural University.

https://www.linkedin.com/in/boris-galitsky-342109204/

Greg Makowski

Liana Ye

SF Bay ACM Chapter

Technology

Data Analytics

Data Visualization

Big Data

Software Development

Data Mining

Computer Programming

Interaction Design

HTML5

Machine Learning

Neural Networks

NFT (Non-fungible Tokens)

Blockchain

Tokens

A Copilot for Social Promotion

AI and Society

Streaming and Social Networks

Philosophy of Mind

Valley Research Park 

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A Copilot for Social Promotion

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