Here’s the mapping of the original 100 LDA topics to the 16 topics generated by the external LDA:

What I did at the bottom: +

What I did at the bottom: +

I have now matched the provided 100 topics to the 16 topics generated by the external LDA:

1. Philosophy and influential thinkers: [0, 6, 26, 56, 68, 84]
2. Life, dreams, and personal journeys: [1, 15, 22, 28, 30, 37, 46, 61, 65, 98]
3. Theoretical aspects of the universe and complex systems: [2, 33, 39, 41, 42, 67, 88]
4. Personal growth, emotional experiences, and self-exploration: [5, 10, 14, 23, 52, 55, 74]
5. Abstract concepts and mathematical principles: [4, 16, 40, 58, 59, 82]
6. Everyday life, people, and experiences: [9, 43, 57, 76, 81]
7. Music, art, and creative expressions: [7, 8, 21, 25, 89, 97]
8. Social and psychological aspects of ADHD and communication: [29, 31, 49, 51, 53, 63, 80, 92]
9. Personality types and personal traits: [20, 60, 83]
10. Language models, user interactions, and data: [3, 11, 12, 18, 27, 32, 35, 38, 44, 45, 50, 71, 78, 85, 86, 91, 95, 96, 99]
11. Cognitive processes, brain function, and psychology: [13, 19, 47, 48, 70, 72, 73, 90]
12. Philosophy, theories, and personality types: [17, 34, 64, 66, 69]
13. Understanding reality, human experiences, and knowledge: [24, 36, 54, 75, 79, 87, 93, 94]
14. Study of concepts, fields, and relationships: [56, 62, 77]
15. Topic categorization and knowledge organization: [100]
16. Taxonomy, topics, and related user queries: [None]

Misfit topics from the 100 LDA topics:

Topic 56 (Philosophers, authors, and their works) is mapped to both Topic 1 (Philosophy and influential thinkers) and Topic 14 (Study of concepts, fields, and relationships). In this case, it is a better fit for Topic 1.

Misfit topics from the 16 external LDA topics:

Topic 16 (Taxonomy, topics, and related user queries) has no corresponding topic from the list of 100 LDA topics.

The majority of the original 100 LDA topics can be reasonably matched to the 15 topics generated by the external LDA (excluding Topic 16). There might be some minor misfits, but overall, the mapping appears to be coherent.

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Here are the identified topics for each of the 100 topics:

[0] Rules-based chatbot complexity and belief systems
[1] Personal growth, emotional experiences, and self-development
[2] Physics and the fundamental properties of the universe
[3] Software programming, coding, and design languages
[4] Mathematical theories and geometry
[5] Exploring ideas and perspectives for personal growth
[6] Philosophy, psychology, spirituality, and human cognition
[7] Understanding the combination of science and art
[8] Minecraft, piano, cellular automata, and quantum computing
[9] Daily life experiences and learning
[10] Emotional well-being and self-improvement techniques
[11] Kenneth’s online interests and interdisciplinary connections
[12] Taxonomy and topic categorization
[13] Various scientific disciplines and their history
[14] Emotional regulation and understanding
[15] Personal growth and the pursuit of meaning
[16] Concept categorization and frameworks
[17] Social dynamics and power structures
[18] Nature and environmental imagery
[19] Unity, separation, and the process of integration
[20] Personality types and traits
[21] Representation and interpretation of colors and energy
[22] Life, the universe, and abstract artistic expressions
[23] Mindfulness and mental health support
[24] Learning and adaptability
[25] Creativity, imagination, and artistic expression
[26] Philosophical theories and traditions
[27] Relationship-focused chatbot conversations
[28] Hope, change, and personal growth
[29] ADHD, attention, and time perception
[30] Spiritual exploration and consciousness
[31] Context-specific goals and focus
[32] Ethics, morals, and decision-making
[33] Various fields of study and complex systems
[34] Time, space, and challenges
[35] Philosophical methodology and perspectives
[36] Writing styles and tone
[37] Personal journeys and storytelling
[38] Social roles and cognitive processes
[39] Goals and methods in various disciplines
[40] Algebra and topological spaces
[41] Environmental, economic, and political change
[42] Physics, engineering, and chemistry
[43] Personal experiences and reflections
[44] User interaction and communication
[45] Diverse perspectives and values
[46] Dreams, reality, and abstract thoughts
[47] Brain function and neural processes
[48] Psychology, health, and human development
[49] Group dynamics and consciousness
[50] Ethics, aesthetics, and empathy
[51] ADHD, autism, and music therapy
[52] Knowledge acquisition and critical thinking
[53] Emotional responses and experiences
[54] Human potential and environmental limitations
[55] Goal setting and action steps
[56] Philosophers, authors, and their works
[57] Everyday experiences and memories
[58] Abstract concepts and representation
[59] Objective and subjective reality
[60] Myers-Briggs personality types
[61] Sense of connection and experiences
[62] Creating hypothetical situations
[63] Communication strategies and conflict resolution
[64] Storytelling and narrative structure
[65] Self-confidence and personal growth
[66] Scientific knowledge and representation
[67] The nature of the universe and belief systems
[68] Philosophical theories and schools of thought
[69] Metaphors for transition and uncertainty
[70] Social justice, politics, and individual rights
[71] Cognitive processes and brain function
[72] Transformation and compromise in writing
[73] Emotions and education in social settings
[74] Creativity, curiosity, and the flow state
[75] Engagement cycle, dopamine, curiosity, creativity, and stress management in learning and exploration
[76] Public opinion, media, and popular culture
[77] Cultural and societal influences on technology
[78] Lists, examples, and separated items in writing
[79] Artificial intelligence, machine learning, and cognitive development
[80] Individual factors and cognitive conditions
[81] INFP traits and characteristics
[82] Metaphors, analogies, and cognition
[83] Performance feedback and improvement
[84] Influential philosophers and thinkers
[85] Natural language processing and language models
[86] Compliments, confidence, and self-perception
[87] Dewey Decimal Classification and topic organization
[88] Mathematical models and logic systems
[89] Music genres and hybrid concepts
[90] Object context, characteristics, and semantics
[91] Context-specific information and details
[92] Human consciousness and the nature of reality
[93] Kenneth Udut’s personality and chatbot interests
[94] Belief systems and theological perspectives
[95] Communication levels and public engagement
[96] Frameworks for understanding and organization
[97] Art, music, and creative expressions
[98] Hypothetical scenarios and imagination
[99] Identity, uniqueness, and abstract concepts

WHAT I DID:
a) Downloaded all my ChatGPT logs. (Over 3000 pages)
b) Ran them through topics analysis using LDA*
c) LDA 100 topics identified from original logs.
d) Asked ChatGPT4 to try and identify the 100 LDA topics.
e) asked GPT4 to group it. It did so it 16 groups.
f) LDA 16 topics from original logs.
g) GPT4 compared its 16 groups with LDA 16 groups. Determined LDA’s 16 groups was more specific and more accurate.
h) Asked GPT4 to fit the 100 topics into the 16 LDA generated topic and show misfits. It only found a SINGLE misfit.

ChatGPT4 + * LDA mimno.infosci.cornell.edu/jsLDA/jslda.html

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