Add to ORKGThis paper has the objective of developing a methodology to store a great mass of semi-structured data and its later recovery, focusing on possible improvements and applications by text mining, uniting related articles from many specialties. The present work intends to contribute by way of supplying a strong methodology based on text mining algorithms, searching for a better automated analysis of documents by text classification and making it easy to store and acquire the relevant information in documents on the Web
Analysis of large text data sets is gaining popularity providing the users some insights into their ...
Nowadays, in many text mining applications, information is present in the form of text documents. Te...
Abstract: In this paper we describe some approaches to text mining, which are supported by an origin...
AbstractThe number of semi-structured documents that is produced is steadily increasing. Thus, it wi...
phenomenal growth of the web, today’s websites have become a key communication and information mediu...
Text mining deals with retrieval of specific information provided by customer search engines. With t...
∗Signatures are on file in the Graduate School. We all witnessed the information explosion of the Wo...
Information Retrieval? a research with a long-term research goal of exploration of information stora...
The enormous amount of information stored in unstructured texts cannot simply be used for further pr...
In this paper we describe our approach to Text Mining by introducing TextMiner. We perform term and ...
Text mining deals with retrieval of specific information provided by customer search engines. With t...
Text Mining is an important step of Knowledge Discovery process. It is used to extract hidden inform...
Aim of the paper is to propose a Text Mining strategy based on statistical tools, which make more ef...
One consequence of the pervasive use of computers is that most documents originate in digital form. ...
Aim of the paper is to propose a Text Mining strategy based on statistical tools, which make more ef...
Analysis of large text data sets is gaining popularity providing the users some insights into their ...
Nowadays, in many text mining applications, information is present in the form of text documents. Te...
Abstract: In this paper we describe some approaches to text mining, which are supported by an origin...
AbstractThe number of semi-structured documents that is produced is steadily increasing. Thus, it wi...
phenomenal growth of the web, today’s websites have become a key communication and information mediu...
Text mining deals with retrieval of specific information provided by customer search engines. With t...
∗Signatures are on file in the Graduate School. We all witnessed the information explosion of the Wo...
Information Retrieval? a research with a long-term research goal of exploration of information stora...
The enormous amount of information stored in unstructured texts cannot simply be used for further pr...
In this paper we describe our approach to Text Mining by introducing TextMiner. We perform term and ...
Text mining deals with retrieval of specific information provided by customer search engines. With t...
Text Mining is an important step of Knowledge Discovery process. It is used to extract hidden inform...
Aim of the paper is to propose a Text Mining strategy based on statistical tools, which make more ef...
One consequence of the pervasive use of computers is that most documents originate in digital form. ...
Aim of the paper is to propose a Text Mining strategy based on statistical tools, which make more ef...
Analysis of large text data sets is gaining popularity providing the users some insights into their ...
Nowadays, in many text mining applications, information is present in the form of text documents. Te...
Abstract: In this paper we describe some approaches to text mining, which are supported by an origin...