An Introduction to AI Document Analysis


What is Document Analysis?

According to Wikipedia, Document Analysis is a kind of qualitative research that uses a structured procedure to interpret documentary evidence and answer specific research questions. It is similar to any other analysis in qualitative research which includes repeated reviews, examination and interpretation of the data to give voice and meaning. 

There are three vital types of document:

  1. Personal Documents: These are first-hand accounts of a person's beliefs, experiences and actions such as emails, calendars, Facebook posts, scrapbooks, incident reports etc.

  2. Physical Evidence: These are also called real evidence, refer to those physical objects that can be found within the study setting. Examples are flyers, posters, Public Records: It includes the official records of an organization's activities like yearly reports, strategy manuals, statements of purpose, understudy handbook and essential arrangements.

  3. agendas, publications, plans etc.

How is AI for Document Analysis used?

Traditionally, workers used to process data manually. It was time-consuming and prone to human errors. Artificial Intelligence eliminates these challenges. It uses NLP and machine learning techniques to derive insights from unstructured data and enhancing document intelligence which in turn lowers the operational cost and time. For Example:

AI-based platforms like Nia DocAI, are making ai document analysis a reality with ease. These platforms leverage advanced technologies like Artificial Intelligence and Machine Learning and help you to easily:

  1. Pull out a complex document layout using OCR and computer vision

  2. Enrich uprooted data with contextual knowledge using NPL

  3. Deduce insights from withdrawn data using NLP and Machine Learning

And Finally, imbibe the analysed information through downstream integration and NLP driven research.

Advantages of AI Document Analysis for your business

Every document carries a value within it. Companies receive thousands of unstructured and raw records from various sources such as survey results, tweets, call centre notes, online customer reviews etc. Using artificial intelligence for document analysis can give new wings to your business success in the following ways:

  1. Converts your unstructured document into AI document which eventually assist you in fact-based decision making

  2. Helps you to identify, understand and meet the demands of your customer and employees.

  3. Provides early warning signs in case of an imminent problem

  4. Can be used to identify themes, patterns, and topics of interest from different sources of information.

Summary

Intelligent document analysis refers to using AI capabilities such as Natural Language Processing (NLP) and machine learning techniques to analyse raw and unstructured content to extract meaning and knowledge. For example, companies can use ai document analysis to identify patterns that pose a risk to the business or to read their customer's behaviour to improve their marketing strategies. It also offers several other benefits in comparison to manual document processing such as:

  1. Saves time

  2. Helps in more accurate risk assessment

  3. Delivers higher-quality results

  4. Enhances logical structure of your organization

  5. Reduces stress and frustration of your human workforce and assists in building long-term client relationships.




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