How artificial intelligence automates text analysis

The huge volumes of text information that we operate in the modern world make intelligent tools for processing and analyzing texts in demand. One of these tools is artificial intelligence algorithms that allow you to automate work with texts.

Here are the main capabilities of AI in text analysis:

Instantly read the main idea and topic of a text by analyzing keywords, phrases and text structure.

Main idea generator (summary) of long texts, highlighting only the key points.

Quick rubrication and categorization of texts by topic, assignment of tags and labels.

Extracting important names, dates, numbers, geodata and other objects from text.

Searching the text for answers to questions asked, identifying the essence and relationships between them.

Determining the tone of the text - whether it is positive or negative.

Detecting incorrect borrowings by comparing text with large databases.

Translation of text into other languages while preserving all the nuances of meaning.

Adapting complex texts into simplified versions for different audiences.

Generating content according to specified parameters - keywords, speech style, target audience.

As you can see from the capabilities of AI, text analysis can be completely automated. This allows you to quickly process huge amounts of data without resorting to manual labor.

The use of such intelligent systems significantly increases the efficiency of working with texts in a variety of fields - journalism, science, education, business. We can safely say that AI is completely changing approaches to analyzing and creating text content. This is one of the most promising areas of practical application of artificial intelligence.