Efficient Text Processing via Context Triggered Piecewise Hashing Algorithm for Spam Detection

Differential Mnemonic Effects of Text Processing Strategies for Good

PsycEXTRA Dataset ◽

10.1037/e413802005-234 ◽

2001 ◽

Author(s):

Robert J. Hines ◽

Mark A. McDaniel ◽

Melissa Guynn

Keyword(s):

Text Processing ◽

Processing Strategies

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Text processing as a function of layout in a videotex system.

PsycEXTRA Dataset ◽

10.1037/e434852004-001 ◽

1983 ◽

Cited By ~ 1

Author(s):

Kjell Ohlsson ◽

Lars-Goeran Nilsson ◽

Jerker Roennberg

Keyword(s):

Text Processing

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Memorial Influences on the Fluency of Text Processing

PsycEXTRA Dataset ◽

10.1037/e527342012-574 ◽

2007 ◽

Author(s):

Matthew Collins ◽

Betty Ann Levy

Keyword(s):

Text Processing

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Organizational signals and reading instructions affect text processing

PsycEXTRA Dataset ◽

10.1037/e665402011-203 ◽

1991 ◽

Author(s):

Elizabeth Pugzles Lorch ◽

Robert F. Lorch ◽

Jonathan M. Golding

Keyword(s):

Text Processing

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Structured Data Entry for Reliable Acquisition of Pharmacokinetic Data

Methods of Information in Medicine ◽

10.1055/s-0038-1634673 ◽

1996 ◽

Vol 35 (03) ◽

pp. 261-264 ◽

Cited By ~ 3

Author(s):

T. Schromm ◽

T. Frankewitsch ◽

M. Giehl ◽

F. Keller ◽

D. Zellner

Keyword(s):

Text Processing ◽

Data Entry ◽

Processing System ◽

Database System ◽

Structured Data ◽

Pharmacokinetic Parameters ◽

Pharmacokinetic Data ◽

Probability Of Error ◽

Error Frequency ◽

Estimated Error

Abstract:A pharmacokinetic database was constructed that is as free of errors as possible. Pharmacokinetic parameters were derived from the literature using a text-processing system and a database system. A random data sample from each system was compared with the original literature. The estimated error frequencies using statistical methods differed significantly between the two systems. The estimated error frequency in the text-processing system was 7.2%, that in the database system 2.7%. Compared with the original values in the literature, the estimated probability of error for identical pharmacokinetic parameters recorded in both systems is 2.4% and is not significantly different from the error frequency in the database. Parallel data entry with a text-processing system and a database system is, therefore, not significantly better than structured data entry for reducing the error frequency.

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KLASIFIKASI SMS SPAM MENGGUNAKAN SUPPORT VECTOR MACHINE

Jurnal Pilar Nusa Mandiri ◽

10.33480/pilar.v15i2.693 ◽

2019 ◽

Vol 15 (2) ◽

pp. 275-280

Author(s):

Agus Setiyono ◽

Hilman F Pardede

Keyword(s):

Data Mining ◽

Support Vector Machine ◽

Decision Tree ◽

Naive Bayes ◽

Naïve Bayes ◽

Support Vector ◽

Spam Detection ◽

Support Vector Machine Algorithm ◽

Data Mining Techniques ◽

To Receive

It is now common for a cellphone to receive spam messages. Great number of received messages making it difficult for human to classify those messages to Spam or no Spam. One way to overcome this problem is to use Data Mining for automatic classifications. In this paper, we investigate various data mining techniques, named Support Vector Machine, Multinomial Naïve Bayes and Decision Tree for automatic spam detection. Our experimental results show that Support Vector Machine algorithm is the best algorithm over three evaluated algorithms. Support Vector Machine achieves 98.33%, while Multinomial Naïve Bayes achieves 98.13% and Decision Tree is at 97.10 % accuracy.

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Le potentiel théâtral chez David Foenkinos. Analyse du roman, du scénario et du film La Délicatesse

Studia Universitatis Babeş-Bolyai Dramatica ◽

10.24193/subbdrama.2020.2.15 ◽

2020 ◽

Vol 65 (2) ◽

pp. 297-319

Author(s):

Aluaș Alina

Keyword(s):

Text Processing ◽

Careful Analysis ◽

The Novel ◽

Work Analysis ◽

Personal Myth ◽

The Subject

"The Theatrical Potential in David Foenkinos’ Work. Analysis of the Novel, the Scenario and the Film “La Délicatesse”. Our interest, especially when it comes to the subject of literature, is to show the manner in which the text processing done by the author (script writer/director) brings to light the guidelines of the novelistic text’s semantics, which under careful analysis reveals a kind of personal myth of the novelist. The skewed, syncopated, interrupted writing which disrupts the chronotope serves the needs of the script as well as the director’s selective vision. Unconsciously, the novel seems to follow the structure of the theatrical model. These traits can also be found in the cinematographic structure of the film. Keywords: love, eroticism, delicacy, theatricality, scenario, film. "

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