AI Sentiment analysis

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.

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.

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.

Different ways to use our AI Sentiment analysis automation:

• Directly, using the AI Sentiment analysis automation.
• Via Data input automation (using the list of inputs option) to analyze a list of URLs.
• 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.
• To analyze URLs in your Hexomatic workflow.
  
  

How to use our AI Sentiment analysis automation via Data input:

Step 1: Create a blank workflow and select Data input as the starting point.
Step 2: Add AI Sentiment analysis automation, selecting Data input as the source.
Step 3: Select the source type (URL/Text) and the language.
Step 4: Click continue to run or schedule the workflow.