The role of systematic functional linguistics in establishing evaluation theory and its application in computing sentiment and opinion analysis

Authors

  • Brahim HABIBI Sultan Moulay Slimane University, Faculty of Arts and Human Sciences, Beni Mella- Morocol Author

DOI:

https://doi.org/10.61856/jr1pef16

Keywords:

Systemic Functional Linguistics, Interpersonal Function, Appraisal Theory, Affect System, Computational Systems

Abstract

This research paper aims to shed light on the foundations of Systemic Functional Linguistics (SFL), which stems from the functional linguistic theory developed by linguist Michael Halliday. Halliday viewed language as a vital and powerful tool that serves various social purposes. Language, according to his approach, can be analyzed through its social and communicative functions across three main levels: the experiential, the textual, and the interpersonal functions. Each of these serves as a key to understanding how language is employed to construct multiple meanings. This paper further explores the role of Systemic Functional Linguistics, especially through the interpersonal function, in the emergence of a new theory that expands the scope of the interpersonal function within SFL. Developed by Jim Martin and Peter White, this theory, known as Appraisal Theory, aims to understand and delineate how language conveys emotional values and judgments. Appraisal Theory is based on three primary systems: Affect, which focuses on how individuals express their feelings and attitudes; Appreciation, which is dedicated to evaluating objects and events; and Judgment, which centers on assessing people’s behaviors. The paper also highlights the significant impact of Appraisal Theory across various fields of knowledge, particularly in the field of Natural Language Processing (NLP), which has leveraged the Affect system to develop computational models capable of analyzing and automatically evaluating opinions and sentiments. Additionally, it points to some Arabic-language research efforts that have relied on Appraisal Theory to enhance the role of Arabic in expressing deep opinions and sentiments through computational systems that assist in evaluating such opinions and sentiments written in Arabic

Author Biography

  • Brahim HABIBI, Sultan Moulay Slimane University, Faculty of Arts and Human Sciences, Beni Mella- Morocol

    ابراهيم حبيبي، حاصل على شهادة الدكتوراه في المعالجة الآلية للغة العربية، وباحث في مجال تعليم اللغة العربية للناطقين بغيرها، كلية الآداب والعلوم الانسانية بني ملال - المغرب.

    - البحوث المنشورة

    لي تسع بحوث مشتركة منشورة باللغة العربية، واللغة الانجليزية، واللغة الفرنسية:

    The Large Annotated Corpus for the Arabic Language (LACAL https://doi.org/10.1007/978-3-031-14748-7_12 .

    "مدونة عربية لاختبار تحليل الآراء والمشاعر المكتوبة باللغة العربية الفصحى" https://drive.google.com/file/d/1jMQKldwW48zdYtJoMLnlSoPL2WDjQIKu/view

    دور التشكيل النحوي في الترجمة الآلية من اللغة العربية إلى اللغة الإنجليزية

    " نظام لتحليل الآراء والمشاعر العربية"

    " وسم معجم عربي لتحليل الآراء والمشاعر

     " بناء موارد أساسية لتحليل الآراء والمشاعر الواردة في التعليقات باللغة العربية http://journal.sustech.edu/index.php/JECS/article/view/478

    "Arabic Paraphrasing Recognition Based Kernel Function for Measuring the Similarity of Pairs. https://doi.org/10.1007/978-3-030-11914-0_20.

     "نحو بناء معجم عربي لتحليل الآراء والمشاعر"

    "نحو حوسبة اختبارات معيارية لمتعلمي اللغة العربية للناطقين بغيرها".

    "Vers la construction d’un lexique Arabe pour l’analyse des opinions et des sentiments"

    - للبحوث المحكمة:

    "وسائل التّعليم عن بعد في الجامعة الجزائرية الواقع والآفاق"

    - العضويات المهمة

    محاضر في الجامعة الأمريكية المفتوحة بواشنطن، كلية اللغات والترجمة، قسم اللغة.

    مدرب معتمد في أكاديمية إيفاد العلمية.

    مراجع في "مجلة اللسانيات التطبيقية".

    رئيس قسم الإدارة والأرشفة "للرابطة العالمية للتراث".

    عضو في "منصة إيفاد العلمية".

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Published

03/15/2025

How to Cite

HABIBI, B. (2025). The role of systematic functional linguistics in establishing evaluation theory and its application in computing sentiment and opinion analysis. Ijhss, 3(spc.). https://doi.org/10.61856/jr1pef16

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