Information extraction is the process of obtaining relevant and structured #information from unstructured sources, such as texts, images, audios or videos. Artificial intelligence (#AI) is a discipline that seeks to create systems capable of performing tasks that normally require human intelligence, such as reasoning, understanding or learning. The combination of both areas offers great possibilities to improve the efficiency and quality of information extraction processes.
There are various #software that help #extractinformation; through various techniques, many of them exploit the benefits that Artificial Intelligence provides today so that the extraction of information becomes a simple, safe and reliable task, regardless of the origin of said information.
Some examples of information extraction with AI are:
- Sentiment analysis, which consists of identifying and extracting the opinions, #emotions and attitudes expressed in a text. For example, it can be used to analyze customer reviews of a product or service, or to detect the tone and intent of a message.
- The extraction of named entities, which consists of recognizing and #classifying the proper names of people, places, organizations, events, etc. that appear in a text. For example, it can be used to extract relevant information from the news, or to identify relationships between mentioned entities.
- The generation of summaries, which consists of creating a short and concise text that captures the main points of a longer text. For example, it can be used to make information easier to read and access, or to create headlines or descriptions.
We are witnessing how #technology is revolutionizing document management in various areas and sectors of our lives.