Document Analysis System Based on Language Model
منتشر شده:
October 17, 2024
دسته بندی:
Artificial Intelligence
نام نویسنده:
نغمه ندائی
Project description
In today’s world, where we are faced with a vast amount of information and electronic documents, managing and utilizing this data has become one of the biggest challenges. Processing and analyzing text documents manually is not only time-consuming but also often accompanied by human errors. Moreover, retrieving information from texts using classical search engines is challenging due to its specific complexities.
In this context, leveraging artificial intelligence technologies and the automation of operations can help us extract useful information from this data and quickly and accurately answer various questions. One of the significant achievements in this field is the creation of intelligent assistants capable of analyzing documents and responding based on their content. These assistants can create document profiles, summarize texts, identify key words, and even interact with users as chatbots in some cases.
Given the high volume of information, manually analyzing document content and extracting key information requires specific skills and a considerable amount of time. This issue can lead to errors and human faults, wasting users’ valuable time. Furthermore, successful decision-making based on accurate and timely information is crucial, and inaccuracies in data analysis can result in unsuccessful decisions.
Thus, the necessity of developing an intelligent assistant for document analysis and content-based responses is clearly evident. This assistant, with the ability to create document profiles, summarize content, and identify important keywords, allows users to access the information they need quickly and accurately.
This project not only helps improve efficiency in document and data management but can also reduce time and human costs, aiding more effective decision-making in the business and scientific worlds. With this approach, we can pave the way for a smarter and better future in the realm of information and document management.
