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Confidential text corpora exist in many forms, but do not allow arbitrary sharing. We explore how to use such private corpora using privacy preserving text analytics. We construct typical text processing applications using appropriate privacy preservation techniques (including homomorphic encryption, Rademacher operators and secure computation). We set
Leif W. Hanlen +3 more
openaire +2 more sources
Improving classification in protein structure databases using text mining [PDF]
Background: The classification of protein domains in the CATH resource is primarily based on structural comparisons, sequence similarity and manual analysis.
Jones, DT +11 more
core +1 more source
Converting numerical classification into text classification
Consider a supervised learning problem in which examples contain both numerical- and text-valued features. To use traditional feature-vector-based learning methods, one could treat the presence or absence of a word as a Boolean feature and use these binary-valued features together with the numerical features.
Sofus A. Macskassy +3 more
openaire +1 more source
vinayakumarr/text-classification-using-tflearn v1 [PDF]
text classification using deep ...
Vinayakumar R
core +1 more source
Survey of text classification methods based on deep learning
Text classification is a research hot spot in the field of natural language processing,which is mainly used in public opinion detection,news classification and other fields.In recent years,artificial neural networks has good performance in many tasks of ...
Sijia DU, Haining YU, Hongli ZHANG
doaj +3 more sources
Multilabel Text Classification Using Multilayer DGAT
Text classification is one of the most fundamental tasks in text data analysis. Generally, textual data are extensive in scale and complex in the inherent relationship, leading to low accuracy in traditional classification models.
Hui Chen +4 more
doaj +1 more source
An Overview of Automatic Text Classification [PDF]
Nowadays, various online resources are growing and disseminating rapidly. In order to organize these resources, attempts have been made to use automatic classification, which often uses statistical algorithms and machine learning. Recently, attention has
Reza Dehkhodaie, Atefeh Sharif
doaj +1 more source
A new rule pruning text categorisation method [PDF]
Associative classification integrates association rule and classification in data mining to build classifiers that are highly accurate than that of traditional classification approaches such as greedy and decision tree.
Hadi, Wa'el +9 more
core +1 more source
An extended oversampling method for imbalanced Quranic text classification based on a genetic algorithm [PDF]
The Quran is considered the holy book for the Muslim community, and its text contains vast amounts of knowledge and guidance that Muslims strive to extract and understand.
Arkok, Bassam +3 more
core +1 more source
As a means of regulating people’s code of conduct, law has a close relationship with text, and text data has been growing exponentially. Managing and classifying huge text data have become a huge challenge.
Jingliang Sun
doaj +1 more source

