Review on Stemming Techniques

Kaur, Prabhjot; Buttar, Preetpal Kaur

doi:10.26483/ijarcs.v9i5.6308

Cited by 5 publications

(2 citation statements)

References 10 publications

(12 reference statements)

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“…Of those bots, 67% are known as "evasive bad bots" that can cycle through random IP addresses, emulate participant behavior (e.g., computer mouse cursor and clicking behavior), and complete CAPTCHA challenges (Imperva, 2023). CAPTCHA stands for "Completely Automated Public Turing test to tell Computers and Humans Apart" (Kaur & Behal, 2014), and these tests screen out bots by making website progression contingent upon replicating distorted text or clicking on image elements in a manner that is difficult for bots to complete.…”

Section: Exclusion Of Bot Activitymentioning

confidence: 99%

Reinforcement‐schedule thinning practices during functional communication training: A survey of behavior analysts

Mitteer,

Boyle,

Craig

2024

Behavioral Interventions

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Researchers have investigated several schedule‐thinning approaches during functional communication training (FCT), including FCT with delay schedules (Delay FCT), FCT with discriminative stimuli (Signaled FCT), and FCT with delay‐and‐denial tolerance training (DDTT). Despite many publications on these approaches, it is unclear how regularly, how often, and under what conditions behavior analysts use these FCT thinning strategies. We analyzed survey data from 129 board‐certified behavior analysts® to determine (a) how often they use the three thinning approaches during FCT, (b) their most preferred thinning method, and (c) the variables (e.g., years of experience, treatment setting) associated with their most used and preferred approaches. DDTT was the most commonly implemented and preferred FCT thinning strategy. Relative to DDTT, Signaled FCT was more frequently used and preferred by doctoral‐level behavior analysts and those working in clinical settings. However, regardless of approach, behavior analysts reported several challenges that hold implications for practice and research.

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Section: Exclusion Of Bot Activitymentioning

confidence: 99%

Reinforcement‐schedule thinning practices during functional communication training: A survey of behavior analysts

Mitteer,

Boyle,

Craig

2024

Behavioral Interventions

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“…The Stemming method can be classified into 3 techniques, namely [13]: rule-based, statistical, and hybrid can be seen in Fig. 1.…”

Section: Stemmingmentioning

confidence: 99%

Autonomy Stemmer Algorithm for Legal and Illegal Affix Detection use Finite-State Automata Method

Ni'mah

Suryaningrum

Arifin

2019

EPI-IJE

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Stemming is the process of separating words from their affixes to get a basic word. Stemming is generally used when preprocessing in text-based applications. Indonesian Stemming has developed research which is divided into two types, namely, stemming without dictionaries and stemming using dictionaries. Stemming without dictionaries has a disadvantage in the results of removal of affixes which are sometimes inappropriate so that it results in over stemming or under stemming, while stemming using dictionaries has a disadvantage during the stemming process which is relatively long and cannot eliminate affixes to compound words. This study proposes a new stemming algorithm without a dictionary that is able to detect legal and illegal affixes in Indonesian using the Finite-State Automata method. The technique used is rule-based Stemmer based on Indonesian language morphology with Regular Expression. Test results were carried out using 118 news documents with 15792 words. The first test results on the autonomy stemmer algorithm obtain the correct word which amounts to 10449 of the total number of words processed, which means getting an average accuracy of 66%. The second test results on the autonomy stemmer algorithm get the results of the average speed of 0.0051 seconds. The third test result is being able to do the elimination of affixes to compound words.

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Preserving the Usefulness of Data During the Depersonalisation Process: Problem Statement and Experiment Plan

Trofimychev

2024

Lecture Notes in Networks and Systems

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Review on Stemming Techniques

Cited by 5 publications

References 10 publications

Reinforcement‐schedule thinning practices during functional communication training: A survey of behavior analysts

Reinforcement‐schedule thinning practices during functional communication training: A survey of behavior analysts

Autonomy Stemmer Algorithm for Legal and Illegal Affix Detection use Finite-State Automata Method

Preserving the Usefulness of Data During the Depersonalisation Process: Problem Statement and Experiment Plan

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