{"componentChunkName":"component---src-components-public-workflows-single-workflow-index-tsx","path":"/ready-made-workflow-library/perform-sentiment-analysis-on-a-list-of-urls","result":{"pageContext":{"result":{"workflow":{"id":95,"name":"Perform sentiment analysis on a list of URLs ","status":"completed","started_at":"1694437557619","frequency":"","created_at":"1694511307755","updated_at":"1694511307755","description":"Perform sentiment analysis in seconds at scale with our ready-made workflow template! Get setup in minutes.","meta_title":null,"meta_description":"<p>Understanding whether the text is positive or negative is handy for news research and mining reviews.</p>\n<p>Here is where Hexomatic comes in handy! This workflow will allow you to discover sentiment across a variety of web content. Simply provide a list of URLs, and Hexomatic will extract textual content from each URL and perform sentiment analysis in minutes, revealing whether the sentiment is positive, negative, or neutral.</p>\n<p>This workflow taps into scraped content, financial headlines, product reviews, and user-generated content, without using any code or machine learning techniques.</p>","image":"https://storage.googleapis.com/hexomatic-automation-icons/public-workflows-illustrations/Perform%20sentiment%20analysis%20on%20a%20list%20of%20URLs.jpg","categories":[{"id":3,"name":"Research"}],"steps":[{"id":489,"setting":"{\"source\":{\"source_csv\":false,\"source_txt\":false},\"automation_id\":47,\"dynamic_settings\":{\"keys\":[{\"key\":null,\"settings\":{\"type\":\"Structured data\",\"columns\":[],\"storage\":null,\"jsonKeys\":[],\"inputType\":\"MANUAL_ADD_TYPE\",\"uploadedFiles\":[],\"workflowUploadId\":null,\"enableCsvCustomColumHeaders\":false,\"useCsvFirstRowsAsColumnHeaders\":true},\"inputValue\":[\"https://www.prnewswire.com/news-releases/ojjo-solar-foundations-surpass-4-gigawatt-milestone-for-constructed-and-committed-projects-301923263.html\",\"https://www.prnewswire.com/news-releases/automotive-active-grille-shutter-market-to-grow-by-3-160-81-thousand-units-from-2021-to-2026-the-adoption-of-new-or-improved-emission-standards-drives-the-market---technavio-301922436.html\"]}]},\"output_keys_data\":[\"_data_input\"],\"predefined_settings\":null,\"integration_settings\":null,\"output_keys_data_with_types\":\"{\\\"_data_input\\\":\\\"any\\\"}\"}","index":0,"created_at":"1631606440232","updated_at":null,"automation":{"id":47,"name":"Data input","url":"input","meta_title":"Data Input | Hexomatic","meta_description":"Use our data input automation as a starting point for your workflow. Provide a list of URLs or text files as input for scraping recipes or automation.","short_description":"Provide your workflow with a text or file-based input","long_description":"Provide a list of URLs, text, or TXT/CSV files inside your workflow as input for scraping recipes or automation.\n<br />The Data Input automation enables you to provide data as a starting point for your workflow.\n<br />**We currently support four types of data inputs:**\n> * File upload - Lets you upload CSV, TXT, IMAGE, PDF, AUDIO or JSON files.\n> * File URL - Lets you specify the URL of a  CSV and TXT file.\n> * Manual paste - Lets you copy paste a list of URLs or keywords and iterate through each in your workflow. You can also paste blocks of text.\n<br /> \n\n**You can then add additional automations to perform different work tasks for each URL, Keyword or data provided in the data input.**\n> * Supported image formats include: .jpeg, .png8, .png24, .png, .gif, .bmp, .webp, .raw, .ico, .jpg.\n> * Supported audio formats include: WAV, MP3, FLAC.","long_description_details":" ","has_source":null,"icon_url":"https://storage.googleapis.com/hexomatic-automation-icons/data-input.svg"}},{"id":490,"setting":"{\"source\":{\"source_csv\":false,\"source_txt\":false},\"automation_id\":131,\"dynamic_settings\":{\"keys\":[{\"key\":\"_data_input\",\"settings\":{\"type\":\"HTML\",\"language\":\"en\"},\"inputValue\":null}]},\"output_keys_data\":[\"_data_input\",\"_document_sentiment\",\"_sentence_text_content\",\"_sentence_text_content_sentiment\"],\"predefined_settings\":null,\"integration_settings\":null,\"output_keys_data_with_types\":\"{\\\"_data_input\\\":\\\"any\\\",\\\"_document_sentiment\\\":\\\"text\\\",\\\"_sentence_text_content\\\":\\\"text\\\",\\\"_sentence_text_content_sentiment\\\":\\\"text\\\"}\"}","index":1,"created_at":"1631606440232","updated_at":null,"automation":{"id":131,"name":"AI Sentiment analysis","url":"ai-sentiment-analysis","meta_title":"Automate Sentiment Analysis - AI Automation","meta_description":"Analyze financial headlines, scraped content, product reviews, and UGC in minutes to turn data into actionable insights.","short_description":"Evaluate financial headlines, scraped content, product reviews, and user-generated content on autopilot with our Sentiment analysis automation","long_description":"Evaluate financial headlines, scraped content, product reviews, and user-generated content in minutes and without using any code or machine learning. \nSentiment analysis can be applied to any text or URL inside your workflow and be used to understand positive, negative or neutral sentiment at scale.\nConsumes 0.12 premium credits per 1000 characters.","long_description_details":"Customers constantly share their opinions and feelings toward companies on social media, in online reviews, and so on. At the end of the day, that is transformed into an overwhelming amount of unstructured data to analyze.\n<br />For keeping track of what customers say about your company, you need to turn to AI Sentiment analysis, helping to automatically identify the emotional tone in comments and get fast, real-time insights from large customer datasets.\n<br />Our Hexomatic AI Sentiment analysis automation enables you to evaluate financial headlines, scraped content, product reviews, and user-generated content in minutes and without using any code or machine learning. It can be applied to any text or URL inside your workflow and be used to understand positive, negative or neutral sentiment at scale.\n<br />**Different ways to use our AI Sentiment analysis automation:**\n<br />\n> * Directly, using the AI Sentiment analysis automation.\n> * Via Data input automation (using the list of inputs option) to analyze a list of URLs.\n> * Via Data input automation (using the Upload file/ CSV file/ TXT file option) to analyze a list of URLs in a local CSV or TXT file.\n> * To analyze URLs in your Hexomatic workflow. \n<br />\n\n**How to use our AI Sentiment analysis automation via Data input:**\n<br /> Step 1: Create a blank workflow and select Data input as the starting point.\nStep 2: Add AI Sentiment analysis automation, selecting Data input as the source.\nStep 3: Select the source type (URL/Text) and the language.\nStep 4: Click continue to run or schedule the workflow.","has_source":null,"icon_url":"https://storage.googleapis.com/hexomatic-automation-icons/sentiment-analysis.svg"}}],"tags":["Research"]},"prevPath":"/ready-made-workflow-library/scrape-phone-numbers-from-a-list-of-urls","nextPath":"/ready-made-workflow-library/categorize-a-list-of-website-urls"}}},"staticQueryHashes":["3915125517"]}