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Topical Map Creator

Topical Map Creator

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Prompt: TopicX = {{Your Topic}} Create a topical map for TopicX. Visualize the topical map in table format. Step 1: Your first task is to function as a topical map architect, focusing on a niche keyword of your choosing. The keyword and subject for your topical map are TopicX. Your objective is to brainstorm, structure, and elaborate on the various topic clusters that you uncover. After this, you'll need to polish and fine-tune your topical map. Your map should include at least 50 nouns/predicates associated with TopicX, such as unique products or categories. It should also consider any particular intentions, qualities, or attributes related to the niche. These should be categorized into five primary sections. From this, you'll generate a topical map, with each category housing its corresponding subtopics based on the provided nouns. To further clarify your understanding, you'll also create a table of nouns and their linked topics. For the most effective results, please provide a succinct and unambiguous definition of your topic. Step 2: Your next step is to construct a semantic graph for the topic TopicX, considering its associated subtopics. Please include any pertinent subtopics, such as specific products or categories. Also, consider any specific intentions, qualities, or attributes that are relevant. You will then format a semantic graph as a table. In this table, each subtopic will be represented as a node, with its relationships to other subtopics shown as directed edges linking the nodes. Ensure that the semantic connection on each edge is clearly displayed within the table. Step 3: Your final task is to develop a comprehensive topical map for the topic TopicX, which incorporates both overarching and detailed subtopics. Please construct a mind map with "topic" as the central point, and branch out with at least 10 subcategories. Each subcategory should contain at least 5 related keywords, with a balance of general and specific keywords. Start by forming a mental image of the network diagram, and then proceed to create clear synopsis. Step 4: After creating the topical map, review it thoroughly to identify any gaps or potential areas of expansion. Pay particular attention to the logical flow between different subtopics and categories. If necessary, revise the map to ensure that it provides a comprehensive and coherent view of your topic. Give advice on any gaps and what I can do to further upgrade the topical map. Step 5: Lastly, apply your topical map in your research or content creation process. This should help you maintain a focused approach, ensuring that all relevant aspects of your topic are addressed. Consider how each subtopic can be developed into a web page, article, blog post, or other forms of content. If possible, link between different subtopics to create a web of related content.


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When running a Play- or Autobook you'll be asked for following information:
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SEOTraffic.ai
Last update:
June 22, 2023



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Reflexion With Self-Improvement :
Take a given text; Let ChatGPT
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TAB Reflexion With Self-Improvement
<<Step1>> Context = Extract the 9 main topics and keywords as a comma separated list from {{tab}} <<Step2>> I want you to act as an expert chatbot called "BeBetter", which is based on the GPT-4 model and designed to self-reflect on the SUBJECT and improve its responses. BeBetter is an expert in these fields: 1. Machine Learning 2. Natural Language Processing 3. Artificial Intelligence 4. Computer Vision 5. Robotics 6. Neural Networks 7. Data Science 8. Deep Learning 9. Data Mining 10. Algorithm Design 11. Cloud Computing 12. Web Development 13. Mobile App Development 15. Cyber Security 16. Blockchain 17. Augmented Reality 18. Virtual Reality 19. User Interface Design 20. Game Development BeBetter has the following built-in process: 1. You provide the initial response with an assumed score of 1. 2. BeBetter will critically analyze the response and explain why the response could be better. 3. BeBetter will rewrite the response to address the criticisms and improve the score. 4. BeBetter will continue iterating through steps 2-3, with each iteration improving the score by 1 or 2 points, until the score reaches 10 or a minimum of 5 iterations have been completed. 5. If BeBetter feels the final iteration could still be improved upon, regardless of the score, it will acknowledge the need for further work. Here is a layout example for each iteration: Iteration: # SUBJECT: text Score: value Criticisms: text Here is the initial response (Iteration 1) with an assumed score of 1, and BetterGPT will begin the self-improvement loop by generating its own criticism and subsequent iterations: SUBJECT = "{{Enter a text that you want ChatGPT to iteratively improve}}"
Create a taxonomy for a topic
based on query data from GSC
Taxonomy Creator
As an expert in taxonomy creation, we need your assistance in developing a clear, high-level website taxonomy based on a provided list of topics. These topics represent diverse categories that need to be neatly organized in a hierarchical manner. Subject of website: {{subject}} Important Topics: {{GSC query data}} The topics are a list of topic ngrams and their scores. The scores are based on the number of times the query appears in the dataset and the overall user interest in the topic. Generally, higher scoring queries are more important to include as top-level categories. Please adhere to the following dash-prefix format for your output. The taxonomy should be structured, as an example, as follows: - Category - Subcategory - Sub-subcategory - Subcategory - Category - Subcategory - Sub-subcategory - Sub-sub-subcategory - Sub-subcategory In order to effectively accomplish this task, you MUST follow the following guidelines: Brands: The Important Topics may mention these specific brands '{{brands}}'. When creating your taxonomy, please omit these brand terms. For example, if a topic is 'adidas shoes' and 'adidas' is in the specified brands, the taxonomy should include 'shoes' but not 'adidas'. No Guessing: AVOID inventing or speculating any subcategory subjects that are not directly reflected in the provided Important Topics. Miscellaneous: Some Important Topics are outliers, are too vague, or are not relevant to the products and services offered by the company. Assign these topics to a top-level category called 'Miscellaneous' e.g. Miscellaneous > Dogs (where all topics are related to shoes). Depth of Taxonomy: The taxonomy should be no more than four levels deep (i.e., Category > Subcategory > Sub-subcategory > Sub-sub-subcategory). Accuracy: Consider carefully the top-level categories to ensure that they are broad enough to effectively hold key sub-category subjects. Readability: Ensure that category names are concise yet descriptive. Duplication: Try not to assign a subject to multiple categories unless the provided Important Topics indicate it belongs in both. Output: Only output the taxonomy. DO NOT include commentary. Please read the guidelines and examples closely prior to beginning and double-check your work before submitting. Start!

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