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Visualizing the document pre-processing effects in text mining process
(2018-01-01)
Text mining is an important step to categorize textual data by using data mining techniques. As most obtained textual data is unstructured, it needs to be processed before applying mining algorithms – that process is known ...
Analysis of document pre-processing effects in text and opinion mining
(2018-04-20)
Typically, textual information is available as unstructured data, which require processing so that data mining algorithms can handle such data; this processing is known as the pre-processing step in the overall text mining ...
Application of the KDD Process for the Visualization of Integrated Geo-Referenced Textual Data from the Pre-processing Phase
(Universidad La Salle, 2018-04-17)
Geo-referenced textual data has been the subject of multiple investigations, by providing opportunities to better understand certain phenomena according to the content that is shared, either on-line such as social networks, ...
Document Image Processing
Document Image Processing allows systems like OCR, writer identification, writer recognition, check processing, historical document processing, etc., to extract useful information from document images. What we call a ...
Improvements on the Porter`s Stemming Algorithm for Portuguese
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2009)
The amount of textual information digitally stored is growing every day. However, our capability of processing and analyzing that information is not growing at the same pace. To overcome this limitation, it is important ...
Metodologia de pré-processamento textual para extração de informação sobre efeitos de doenças em artigos científicos do domínio biomédico
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2010-09-24)
There is a large volume of unstructured information (i.e., in text format) being published in electronic media, in digital libraries particularly. Thus, the human being becomes restricted to an amount of text that is able ...
A deep learning approach for sentiment analysis in Spanish Tweets
(Springer Verlag, 2018)
Sentiment Analysis at Document Level is a well-known problem in Natural Language Processing (NLP), being considered as a reference in NLP, over which new architectures and models are tested in order to compare metrics that ...
Descoberta de conhecimento aplicado à base de dados textual de saúde
(Universidade do Vale do Rio dos Sinos, 2012-03-26)
This study suggests a process of investigation of the content of a database, comprising descriptive and pre-structured data related to the health domain, more particularly in the area of Rheumatology. For the investigation ...
Descoberta de conhecimento aplicado à base de dados textual de saúde
(Universidade do Vale do Rio dos Sinos, 2012-03-26)
This study suggests a process of investigation of the content of a database, comprising descriptive and pre-structured data related to the health domain, more particularly in the area of Rheumatology. For the investigation ...
Desenvolvimento, implementação e teste de ferramentas integradas para análise textual e tratamento estatístico de dados em pesquisas linguisticas
(Universidade Federal de Minas GeraisUFMG, 2016-02-15)
This thesis reports on a study aimed at developing, applying and testing a set of tools designed for the pre-processing and analysis of structured (spreadsheet) and unstructured data by means of scripts written in the R ...