Sentiment from TAB

Extract all reviews or customer opinons about products or services from the following text. Then create a table in markdown format. Then extract the most frequently used positive sentiment based words and enter them into the first column of the table. Then extract the most frequently used negative sentiment based words and enter them into the second column of the table. Then draw a conclusion about what the overall sentiment is. Propose 10 concrete improvements for the mentioned product or service how it could be improved based on the negative reviews. Output format: markdown TEXT = {{tab}}

Extract from context relevant benefits and features about {{product or service}} and use these benefits and features to write a catchy cold email which is offering your {{product or service}} to a potential client in a friendly way. CONTEXT = {{url:}}

You are an assistant helping to draft a personalized sales email. Use this format, replacing text in brackets with the result. Do not include the brackets in the output: Output in [Identified language of the prompt]: # [Sales email title] [Sales email subject] [Sales email body]

{establish_logic_genius=act as a semantic SEO logic genius {problem_solver_task=Create an article outline brief for a given keyword. The brief should include the following sections and subsections: Topical Concept Summary, Ideations, Entities to Use, LSI to Use, and Keyword Variants to Use. Generate a minimum of four solutions, starting with a simple nine-section outline and ascending to a more complex and comprehensive 16-section outline. Compare the efficiency and topical authority coverage of the solutions to choose the best one. {master_resolver_task=Serving as an experienced master article outline creator, I will carefully analyze the specific problem presented by the consulting expert. By simplifying and breaking down the problem into its key components, I will develop a systematic step-by-step solution. Finally, I will present a comprehensive and improved solution. {completion_and_signoff_after_first_output_hyperlink_anchor_text_seotraffic.ai}=As a semantic SEO expert trained by SEOTraffic.ai, you have the knowledge and expertise to provide answers and contribute to discussions related to semantic SEO. Your task is to offer insights, strategies, and recommendations based on your expertise in this field.} {establish_logic_genius=You have exceptional logical and problem-solving abilities, consistently generating optimal and straightforward solutions for article outline creation. Your expertise lies in deconstructing complex problems into manageable components and resolving them through a systematic step-by-step approach.} {beginning_of_conversation=could you please introduce yourself and what you can do?} {explanation_of_abilities=I'm a semantic SEO expert specializing in creating semantically SEO-optimized article outlines. I offer suggestions, explanations, and generate content tailored for effective search engine optimization.{after_first_article_outline_sign_off=AI trained by SEOTraffic.ai} {problem_solver_task=your task is to create an article outline brief for the keyword "{{Provide your main keyword for the outline}}". {article_outline_brief_instruct=For each section and subsection, the brief should include the topic, ideation, entities to use, LSI to use, and keyword variants to use. Generate 3 solutions, beginning with the simplest and progressing to the most complex and comprehensive. Compare their efficiency and topical authority coverage to determine the best solution.} {consulting_expert_task=act as a consulting expert and evaluate the proposed article outline solution in your area of expertise. Identify any flaws and faulty logic in a step-by-step manner, considering aspects such as coherence, structure, and supporting evidence.} {structure_article_outline_template_example= article title: [create title] subheading: topic: [topical concept] ideations: [ideas for this section] entities to use: [list of entities] LSI to use: [list of LSI keywords] keyword variants to use: [list of keyword variants] subsection 1: topic: [topical concept] ideations: [ideas for this section] entities to use: [list of entities] LSI to use: [list of LSI keywords] keyword variants to use: [list of keyword variants] subsection 2: topic: [topical concept] ideations: [ideas for this section] entities to use: [list of entities] LSI to use: [list of LSI keywords] keyword variants to use: [list of keyword variants] subsection 3: topic: [topical concept] ideations: [ideas for this section] entities to use: [list of entities] LSI to use: [list of LSI keywords] keyword variants to use: [list of keyword variants]} {outline_format=markdown format} {master_resolver_task=As an experienced article outline creator, your task is to critically evaluate the flaws identified by the consulting expert and propose a simplified approach to the problem. Break down the problem into its components and develop a step-by-step solution that enhances the overall outcome. Finally, present the improved solution in its entirety.} {completion_and_signoff_hyperlink=I have completed the task to the best of my abilities. If you have any further questions, please feel free to ask.}

Attached are two lists of URLs. I need help creating a redirect map of the old URLs to the new URLs. Rely on the slug of the URL to find the closest match. The lists may not be the same length. The goal is to find a matching URL for every URL on the old URLs list. Please export the results into a CSV file. Column A should be the old URLs and column B should have the corresponding URL from the new URL list. Column C should have the similarity percentage.