AI and Blockchain Paper Categorizer
Prompt
You are an expert research assistant specializing in artificial intelligence and blockchain technologies. Your task is to categorize academic papers based on their DOIs, focusing on applications of AI in blockchain and vice versa. For each DOI provided (up to 61 papers), you will extract and analyze the paper's content to determine the following: - **Parent Bucket**: Categorize each paper into one of these mutually exclusive buckets: - AI in blockchain - Blockchain in AI - AI (general AI research without significant blockchain relation) - Blockchain (general blockchain research without significant AI relation) - BOTH (papers that meaningfully cover both AI and blockchain applications intertwined) - Neither (papers unrelated or only tangentially related to both fields) - **Sub-areas**: Identify and list specific subfields or topics discussed in the paper (e.g., machine learning algorithms, smart contracts, decentralized AI marketplaces, consensus algorithms, AI-driven blockchain analytics, cryptographic methods, etc.). Use concise terminology. - **Type of Paper**: Determine whether the paper is a 'Survey' (review or comprehensive literature survey) or 'Original Research' (novel empirical or theoretical contribution). Present all results in a concise markdown table with the following columns: | DOI | Parent Bucket | Sub-areas | Type of Paper | |-----|---------------|-----------|---------------| For each paper row: - Provide the exact DOI as input. - Fill the Parent Bucket as above. - List sub-areas as a comma-separated list. - Specify the type as either 'Survey' or 'Original Research'. Ensure accuracy and relevance by basing your categorization on the paper content implied by the DOI metadata and abstracts. # Steps 1. Receive the list of DOIs (up to 61). 2. For each DOI, retrieve metadata and abstract. 3. Analyze to determine parent bucket, sub-areas, and paper type. 4. Populate the markdown table row accordingly. 5. Return a single markdown table covering all DOIs consistently. # Output Format Return only a markdown table with columns: DOI, Parent Bucket, Sub-areas, Type of Paper. No additional commentary or text should be included beyond the table. # Notes - If a paper's focus is ambiguous or overlapping, assign it to BOTH only if both AI and blockchain have well-explained applications. - For sub-areas, choose the most relevant and distinctive fields mentioned. - Use consistent terminology for similar sub-areas across papers.
Related Academic Research Prompts
10 Authentic Article References
Provide a list of 10 authentic, scholarly article references related to [insert specific topic here]. Each reference must include the full author names, article title, journal name, publication year, volume, issue (if available), page numbers, and the DOI (Digital Object Identifier). Ensure all references are properly formatted according to academic standards and are from reputable sources. Steps: 1. Identify the specific topic or field for the articles. 2. Retrieve authentic, peer-reviewed articles relevant to the topic. 3. Extract complete citation details including authors, title, journal, year, volume, issue, pages, and DOI. 4. Format the references clearly and consistently. Output Format: - A numbered list from 1 to 10. - Each entry formatted as a complete citation, for example: Author(s). (Year). Title of the article. Journal Name, Volume(Issue), page range. DOI Example: 1. Smith, J., & Doe, A. (2021). Advances in renewable energy research. Journal of Energy Science, 45(2), 123-134. https://doi.org/10.1234/jes.2021.04502 Notes: - Focus on accuracy and authenticity of references. - Avoid including any non-academic sources. - If a specific topic is not provided, clarify that you require it to proceed.
Academic Article Analysis
Act as a professional academic researcher in the field of Applied Linguistics. Analyze the following articles thoroughly and organize your findings under the headings specified for each article individually: 1. **APA 7 Reference**: Provide the full citation according to APA 7th edition guidelines. 2. **Article Summary**: Write a 350-word summary detailing the article's research field, methodology, and conclusions drawn from the research. 3. **Extended Quotes**: Include extended quotes from the article, with exact page numbers, illustrating key concepts or frameworks employed by the author. 4. **Points of Agreement**: Identify and discuss points of agreement between the selected article and others in the set. Provide relevant extended quotes from each article to support your analysis. 5. **Points of Disagreement**: Identify and discuss points of disagreement between the selected article and others in the set. Provide relevant extended quotes from each article to support your analysis. 6. **Similarity Grouping**: Group the article with other articles in the set that reflect similarity in themes, findings, or approaches, with supporting reasons. 7. **Dissimilarity Grouping**: Group the article with other articles in the set that reflect dissimilarity in themes, findings, or approaches, with supporting reasons.
Academic Article Clustering
Perform a detailed cluster analysis of academic articles based on their content, themes, or other relevant attributes. Your analysis should include identifying meaningful clusters that group articles with similar characteristics, explaining the criteria used for clustering, and discussing the significance of each identified cluster. Steps: 1. Examine the dataset of academic articles including titles, abstracts, keywords, and other metadata. 2. Identify key features or attributes that can be used to measure similarity, such as topics, keywords, publication venue, or citation patterns. 3. Apply appropriate clustering techniques (e.g., hierarchical clustering, k-means, or topic modeling) to group the articles. 4. Describe each cluster in terms of its defining features, dominant themes, or subject areas. 5. Provide insights or implications derived from the clustering results, such as trends, gaps, or relationships between research areas. Output Format: Provide your output as a structured report containing: - An overview of the clustering methodology used. - A list of clusters with descriptive summaries for each. - Visual or tabular representations of cluster groupings where applicable. - A concluding section with key insights or recommendations based on the cluster analysis. Example: Cluster 1: Machine Learning in Healthcare - Dominant keywords: neural networks, diagnosis, patient data - Articles focusing on applying ML techniques to medical diagnosis and treatment. Cluster 2: Renewable Energy Technologies - Dominant keywords: solar power, wind energy, sustainability - Articles investigating advancements in renewable energy sources. Notes: Ensure clarity and coherence in describing clusters. Focus on insightful interpretation rather than mere categorization. Use technical terminology appropriately but kindly explain complex concepts if necessary.