Textual Data Represented using Group Theory and AI Problem Solving -An Abstract Mathematical Model


This is my latest article on application of Abstract mathematical Group Theory to AI.

“This article lays emphasis on how Abstract Algebra topic of Group Theory can be applied to the problems of Natural Language Processing. Here the monoid is defined for certain NLP tasks and the proposed extension of the free semigroup to free Group is illustrated for its meaning in several NLP tasks. The article concludes with laying out of some relevant results which can be applied from theoretical concepts to applied AI applications. The article is for illustrative emphasis of application of Group Theory in AI and NLP.”

Here is the link to online article.

The main applications briefly discussed in this article are:

  1. Text Abstraction
  2. Information Retrieval
  3. Text Extraction
  4. Word Sense Disambuiguations

And it has many more application. In short it is an application of theatrical algebra in Artificial Intelligence Problems. Write to me if you want to know more.

Thanks for reading

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Published by Nidhika

Hi, Apart from profession, I have inherent interest in writing especially about Global Issues of Concern, fiction blogs, poems, stories, doing painting, cooking, photography, music to mention a few! And most important on this website you can find my suggestions to latest problems, views and ideas, my poems, stories, novels, some comments, proposals, blogs, personal experiences and occasionally very short glimpses of my research work as well.

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