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Text Categorization for Internet Content Filtering

INTELIGENCIA ARTIFICIAL, 2004
Text Filtering is one of the most challenging and useful tasks in the Multilingual Information Access field. In a number of filtering applications, Automated Text Categorization of documents plays a key role. In this paper, we present two of that applications (Hermes and POESIA), focused on personalized news delivery and Internet inappropriate content ...
Gómez Hidalgo, José María, Giráldez Betrón, Juan Ignacio, De Buenaga Rodríguez, Manuel   +2 more
openaire   +3 more sources

Unsupervised Topic Labeling of Text Based on Wikipedia Categorization [PDF]

Journal of Systemics, Cybernetics and Informatics, 2019
Defining text topicality is often an expensive problem that requires significant resources for text labeling. Though many packages already exist that provide dictionaries of labeled text, synonyms, and Part-of-Speach tagging, the problem is ongoing as ...
Tetyana Loskutova
doaj  

Chinese Text Auto-Categorization on Petro-Chemical Industrial Processes

Cybernetics and Information Technologies, 2016
There is a huge growth in the amount of documents of corporations in recent years. With this paper we aim to improve classification performance and to support the effective management of massive technical material in the domain-specific field. Taking the
Ni Jing, Gao Ge, Chen Pengyu
doaj   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis

, 2018
Text preprocessing is often the first step in the pipeline of a Natural Language Processing (NLP) system, with potential impact in its final performance.
Camacho-Collados, Jose, Pilehvar, Mohammad Taher   +1 more
core   +1 more source

Hippo pathway at the crossroads of stemness and therapeutic resistance in breast cancer

Molecular Oncology, EarlyView.
Dysregulation of the Hippo pathway drives nuclear accumulation of YAP/TAZ, activating stemness‐related transcriptional programs that sustain breast cancer stemness and fuel therapeutic resistance across subtypes, underscoring Hippo signaling as a targetable vulnerability. Figure created and edited with BioRender.com.
Giulia Schiavoni, Antonella Palmese, Stefano Scalera, Laura Cipriani, Davide Mascolo, Patrizia Vici, Teresa Arcuri, Lorena Filomeno, Eriseld Krasniqi, Giovanni Blandino, Giulia Bon, Marcello Maugeri‐Saccà   +11 more
wiley   +1 more source

Text categorization and similarity analysis: implementation and evaluation [PDF]

, 2013
This report covers the implementation of software that aims to identify document versions and se-mantically related documents. This is important due to the increasing amount of digital information.
Fowke, Michael, Heese, Ralf, Hinze, Annika   +2 more
core   +1 more source

Comparing SVM and Naive Bayes classifiers for text categorization with Wikitology as knowledge enrichment

, 2012
The activity of labeling of documents according to their content is known as text categorization. Many experiments have been carried out to enhance text categorization by adding background knowledge to the document using knowledge repositories like Word ...
Hassan, Sundus, Rafi, Muhammad, Shaikh, Muhammad Shahid   +2 more
core   +1 more source

Customizing Feature Decision Fusion Model using Information Gain, Chi-Square and Ordered Weighted Averaging for Text Classification

International Journal of Information and Communication Technology Research, 2011
Automatic classification of text data has been one of important research topics during recent decades. In this research, a new model based on data fusion techniques is introduced which is used for improving text classification effectiveness.
Mohammad Ali Ghaderi, Behzad Moshiri, Nasser Yazdani, Maryam Tayefeh Mahmoudi   +3 more
doaj  

A medoid-based weighting scheme for nearest-neighbor decision rule toward effective text categorization

SN Applied Sciences, 2020
The k-nearest-neighbor (kNN) decision rule is a simple and robust classifier for text categorization. The performance of kNN decision rule depends heavily upon the value of the neighborhood parameter k.
Avideep Mukherjee, Tanmay Basu
doaj   +1 more source