The action or state reported in the document
Menu
To convert any unstructured text into a structured database.
Technology
Comparison
Comparison
At Knowext, our clients value an evidence-based approach that is grounded in optimal management of available information and supported by accurate, verifiable data. Instead of relying on guesswork or statistical approximations, we prioritize a rigorous approach that emphasizes the importance of factual information.
The approach to text analysis is similar to that used by a human being to read or write text.
All relevant information contained in our clients’ databases is standardized, validated, codified, and structured to facilitate extraction and exploitation.
The information extracted is based on verifiable facts and clearly identified sources. Knowext’s NLUP technology also allows our clients to validate the information transmitted from tools such as ChatGPT, by validating all information recorded or produced.
Any statements that are erroneous or contradictory to the available information recorded are automatically identified and removed from the documents analyzed.
There are no word limits (or tokens) in the texts analyzed.
No training process is required for our applications to be functional, allowing access to all relevant information available, on the day of the request and at no extra cost.
All the information extracted is accompanied by the various sources justifying it.
Technology
Text Mining
For information management purposes
Knowext has made significant strides in the field of machine understanding of text by utilizing categories that reflect multiple contexts, enabling accurate determination of text meaning. Our research has also shown that machine parsing of natural language text, even when written with grammatical errors, can be reliably achieved. This is particularly useful in analyzing complex texts where commercially available parsing tools may introduce errors.
Knowext’s technology employs a syntactic analysis that is not based on conventional grammar, which allows for a greater tolerance of grammar errors in the source text. Unlike conventional grammar, which requires the identification of a specific subject, verb, and potentially an object, category-based grammar can identify relationships between words without the need for all parts of speech to be present. This allows for the analysis of sentence fragments and improves the overall accuracy of their analysis.
Text Mining
Knowext’s technology is innovative, employing a search by blocks of information and questions, rather than by keywords, as do all the tools currently on the market.
The different categories, through which each term is classified, are grouped into information blocks. The information blocks are automatically extracted from the analyzed documents.
Syntactic analysis in this way is largely a matter of understanding the text and not of word frequency or other statistical analysis. The relationship between terms is established by means of their categories and the blocks of information into which they have been grouped.
Technology
The action or state reported in the document
The time of the reported action or condition
Justification of the action or condition observed
The place or location of the action
The problem or symptom observed, justifying the action or condition
The condition for action or for the reported state
The means to achieve the reported action
The influence or consequence of the reported action or condition
The way in which the reported action is carried out
Technology
Knowext’s patented technology is the result of more than 20 years of research and development through various projects in the energy and manufacturing industries.
Knowext is always investing in research and development to improve its tools and services.
Discover Knowext, a consulting and application development firm specializing in knowledge extraction and data analysis.