Entities from TAB

Get all entities from {{googleapi:Enter your keyword here,Enter your Google NLP API key}}

<<Step1>> {{tab}} <<Step2>> Extract all keywords and entities from the received parts. Keywords can be 1-grams, 2-grams, 3-grams or 4-grams. Then create a table in markdown format. Enter all 1-grams into the first column of the table. Then enter all 2-grams into the second column of the table. Fill the 3rd column with 3-grams and the 4th column with 4-grams. Then make another markdown table and enter all found entities there. Output format: markdown

Act as an SEO expert who specialized in entities, semantic SEO and natural language processing. You are very knowledgeable in the concept of Entity-Attribute-Value. You read all patents which had been published by Google, specifically the patents that mention entities and deal with the contextual meaning of search terms. You also studied the work of Bill Slawski. TOPIC = "{{Enter topic}}" Create a table in markdown format with 6 columns. Column 1 "Verbs": “Provide a comprehensive list of the most common verbs associated with the topic. Cluster the list and nest associated verbs. Only add verbs.” Column 2 "Nouns": "Provide a comprehensive list of the most common nouns associated with the topic. Cluster the list and nest associated nouns. Only add nouns." Column 3 "Adjectives": "Provide a comprehensive list of the most common adjectives associated with the topic. Cluster the list and nest associated adjectives. Only add adjectives." Column 4 "Adverbs": "Provide a comprehensive list of the most common adverbs associated with the topic. Cluster the list and nest associated adverbs. Only add adverbs." Column 5 "Predicates": "Provide a comprehensive list of the most common predicates associated with the topic. Only add predicates." Column 6 "Attributes": "Provide a comprehensive list of attributes associated with the topic. Only add attributes." Only create the table and nothing else. Don't give additional explanations.

Extract the entities from this text and list them in a markdown table with their salience score, together With a list of synonyms for each of those entities: {{tab}}

<<Step1>> {{tag name}} from {{source:}}

<<Step1>> {{google1}} <<Step2>> From the received parts create a summary of {{how many words}}.

<<Step1>> {{google1}} <<Step2>> From the received parts create a how-to-guide of {{how many words}}.

Act_as "MidjourneyPhotorealisticArtGenerator": "__init__": { "photography_lexicon": "use_plugins_load_photography_lexicon", "camera_types": ["DSLR", "Mirrorless", "Point and Shoot", "Film", "Medium Format", "Large Format"], "lens_types": ["Wide-angle", "Telephoto", "Prime", "Macro", "Fisheye", "Zoom"], "lighting_techniques": ["High key", "Low key", "Natural light", "Hard light", "Soft light", "Split lighting", "Rembrandt lighting"], "color_palettes": "use_plugins_load_color_palettes", "times_of_day": ["Dawn", "Morning", "Noon", "Afternoon", "Dusk", "Night"], "times_of_year": ["Spring", "Summer", "Autumn", "Winter"], "times_of_life": ["Childhood", "Adolescence", "Adulthood", "Old Age"], "subject_posing_techniques": "use_plugins_load_subject_posing_techniques", "backup_library_sources": "use_plugins_load_backup_library_sources", "art_styles": ["Realism", "Impressionism", "Surrealism", "Abstract"], "emotions": ["Joy", "Sadness", "Anger", "Surprise", "Fear", "Disgust"], "themes": ["Love", "War", "Peace", "Nature", "Technology"], "historical_periods": ["Ancient", "Medieval", "Renaissance", "Modern", "Contemporary"], "cultural_influences": "use_plugins_load_cultural_influences", "artistic_techniques": ["Pointillism", "Hatching", "Cross-hatching", "Stippling"], "materials": ["Oil paint", "Watercolor", "Charcoal", "Digital"], "perspectives": ["Bird's eye view", "Worm's eye view", "Three­point perspective"], "weather_conditions": ["Sunny", "Rainy", "Snowy", "Windy", "Cloudy"], "locations": ["City", "Countryside", "Beach", "Forest", "Desert"], "textures": ["Smooth", "Rough", "Soft", "Hard"], "shapes_and_forms": ["Geometric", "Organic", "Abstract"] }, "use_plugins_load_photography_lexicon": { "description": "Logic use plugins to load professional photography lexicon from online resources. Use a plugin or web scraping tool to fetch the lexicon. For example, from 'http:// www.dundalkphoto.com/downloads/Lexicon.pdf'" or "https:// photographycourse.net/glossary-of-photography-terms/" }, "use_plugins_load_color_palettes": { "description": "Logic to load color palettes from a resource. For example, from 'https://www.color-hex.com/color-palette/547'" or "https://colorswall.com/palette/2513" }, "use_plugins_load_subject_posing_techniques": { "description": "Logic to load subject posing techniques from a resource. For example, from 'https://shotkit.com/posing-people/'" "https://nycphoto.com/model-poses/" }, "use_plugins_load_backup_library_sources": { "description": "Logic to load backup library sources for all image aspects that require online research. For example, from 'https:// www.gettyimages.com/'" "https://www.dpmag.com/how-to/tip-of-the­week/portrait-lighting-posing-techniques/" }, "use_plugins_load_cultural_influences": { "description": "Logic to load cultural influences from an online resource. For example, from 'https://www.culturalatlas.sbs.com.au/'" }, "generate_prompt": { "description": "Based on a single keyword or idea provided by the user, use critical thinking and a tree of thought to ideate a highly detailed art prompt. Select random elements from each category (camera types, lens types, lighting techniques, posing techniques, art styles, emotions, themes, historical periods, cultural influences, artistic techniques, materials, perspectives, weather conditions, locations, textures, shapes, and forms), and construct a vivid scene that the artist can bring to life. The prompt should be as lifelike and authentic as possible, with a focus on photorealistic representation." }