AI Website Pages Content Sentiment Analysis Tool
Case
Introduction
This AI microservice is designed to analyze the sentiment of website content across multiple languages, providing a powerful tool for understanding public perception and user sentiment.
The system automates the process of extracting content from web pages, analyzing it, and generating detailed sentiment reports, accompanied by screenshots of the analyzed pages.
Strategy & approach
A list of URLs is provided in a CSV file, which can be uploaded through a user-friendly form. Alternatively, the system can be integrated with databases or APIs to fetch the URLs dynamically. Once the URLs are processed, the software captures the content of each page, sends it to a Large Language Model (LLM) such as OpenAI (or any other model preferred by the client), and generates comprehensive reports. These reports include the sentiment analysis results and captured images of the pages, offering a visual context for the analyzed content.
For enhanced functionality, additional automations are available. This includes the ability to write data to databases, store reports, and save screenshots to local folders on a designated storage system. These features ensure that the sentiment analysis data is easily accessible and can be integrated into existing workflows and systems.