An Enhanced Twitter Corpus for the Classification of Arabic Speech Acts

Ahed, Majdi; Hammo, Bassam; Abushariah, Mohammad A. M.

doi:10.14569/ijacsa.2020.0110325

Cited by 4 publications

(3 citation statements)

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“…At the point where the current density is zero, namely, at , the series resistance is computed from the following formula [22]: (24) Similarly, at the point where the voltage is zero, namely, at , the shunt resistance ]:22is extracted from the following equation [ (25)…”

Section: Extraction Of Parasitic Resistances For Solar Cellmentioning

confidence: 99%

Exceptional and innovational analysis of n-CdS/p-Si solar cells based on software packages and bias point models: insights into theoretical and experimental characteristics of fabricated solar cells

Hassan¹,

Al‐nami²,

Alrafai³

et al. 2023

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The characteristics of a single solar cell made by CdS thin film deposition on a silicon glass substrate were estimated using simulation models in this study. An aluminum electrode was attached to a silicon wafer to produce a heterojunction, and the indium fingers were fashioned into another electrode and connected directly to the CdS layer. Simulation steps were performed using PV*SOL 3.0 software package and bias points (ISC, VOC ) models. In addition to the use of advanced programs such as MATLAB software (Shell SQ150 PV module), Mathcad 2000 program, and Origin Lab 2019 program.Simulation programs for extracting photovoltaic parameters have been executed together with the laboratory procedures. The simulation programs and experimental procedures aimed in general to know the (current-voltage) and (power-voltage) characteristics of the studied single-diode photovoltaic.

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Section: Extraction Of Parasitic Resistances For Solar Cellmentioning

confidence: 99%

Exceptional and innovational analysis of n-CdS/p-Si solar cells based on software packages and bias point models: insights into theoretical and experimental characteristics of fabricated solar cells

Hassan¹,

Al‐nami²,

Alrafai³

et al. 2023

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show abstract

“…Karakteristik inilah yang membedakan twitter dengan media sosial lainnya sebagai sarana berkomunikasi, sehingga banyak peneliti yang memilih twitter sebagai objek penelitian, di antaranya ialah karya Jaki and De Smedt (2018); Elmadany, Mubarak, and Magdy (2018);Ahed, Hammo, and Abushariah (2020); penelitian lebih dalam mengenai tindak tutur pada twitter oleh (Vasay 2015); Jaki and De Smedt (2018); At-Tamim (2017); 'Ajwah (2019); M. R (2021); Lubis (2019). Adapun lebih spesifik penelitian tentang tindak tutur ilokusi pada twitter pernah dilakukan oleh Bell (2020); Pradana (2020); Putri, Murtadlo, and Purwanti (2020).…”

Section: Pendahuluanunclassified

Arabic Illocutionary Speech Acts On Twitter With The Theme Of Love/ Tindak Tutur Ilokusi Bahasa Arab Pada Twitter Bertema Cinta

Fauzie,

Kholisin

2023

j. arabic learning

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“…Reducing the single multiclass issue into many multiple binary classification issues is the conventional method for utilizing SVM to solve this issue. Building one-versus-all classifiers and selecting the class that correctly categorizes the test examples with the largest margin of error is the most widely used strategy in practice [10]. The presented method first transforms the reader's sound waves into Mel-Frequency Cepstrum Coefficients (MFCC) features before generating a features vector matrix.…”

Section: Introductionmentioning

confidence: 99%

Arabic Dialogue Processing and Act Classification using Support Vector Machine

Alsubayhay¹,

Salam²,

Mohamed³

2023

IJACSA

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Text classification is the technique of grouping documents according to their content into classes and groups. As a result of the vast amount of textual material available online, this procedure is becoming increasingly crucial. The primary challenge in text categorization is enhancing classification accuracy. This role is receiving more attention due to its importance in the development of these systems and the categorization of Arabic dialogue processing. In the research, attempts were made to define dialogue processing. It concentrates on classifying words that are used in dialogue. There are various types of dialogue processing, including hello, farewell, thank you, confirm, and apologies. The words are used in the study without context. The proposed approach recovers the properties of function words by replacing collocations with standard number tokens and each substantive keyword with a numerical approximation token. With the use of the linear support vector machine (SVM) technique, the classification method for this study was obtained. The act is classified using the linear SVM technique, and the anticipated accuracy is evaluated against that of alternative algorithms. This study encompasses Arabic dialogue acts corpora, annotation schema, and classification problems. It describes the outcomes of contemporary approaches to classifying Arabic dialogue acts. A custom database in the domains of banks, chat, and airline tickets is used in the research to assess the effectiveness of the suggested solutions. The linear SVM approach produced the best results.

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An Enhanced Twitter Corpus for the Classification of Arabic Speech Acts

Cited by 4 publications

References 0 publications

Exceptional and innovational analysis of n-CdS/p-Si solar cells based on software packages and bias point models: insights into theoretical and experimental characteristics of fabricated solar cells

Exceptional and innovational analysis of n-CdS/p-Si solar cells based on software packages and bias point models: insights into theoretical and experimental characteristics of fabricated solar cells

Arabic Illocutionary Speech Acts On Twitter With The Theme Of Love/ Tindak Tutur Ilokusi Bahasa Arab Pada Twitter Bertema Cinta

Arabic Dialogue Processing and Act Classification using Support Vector Machine

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