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Register a new userA Computational Exploration of Pejorative Language in Social Media
استكشاف حسابي لغوية Pejorative في وسائل التواصل الاجتماعي
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في هذه الورقة ندرس لغة Pejorative، موضوعا غير متوقع في اللغويات الحسابية.على عكس النماذج الحالية من اللغة الهجومية وكلاب الكراهية، تظهر لغة Pejorative نفسها في المقام الأول على المستوى المعجمي، وتوضح كلمة تستخدم مع دلالة سلبية، مما يجعلها مختلفة عن اللغة المسيئة أو الفئات الأخرى التي تمت دراستها.يعتمد Pejorativity أيضا على السياق: يمكن استخدام نفس الكلمة مع أو بدون دلالات Pejorative، وبالتالي فإن الكشف عن Pejorativity هو أساسا مشكلة مماثلة ل Disambiguation Sense Word.نستفيد بين القواميس عبر الإنترنت لبناء معجم متعدد اللغات من شروط Pejorative للغة الإنجليزية والإسبانية والإيطالية والرومانية.كلفنا تحرير مجموعة بيانات من تغريدات المشروح لاستخدام Pejorative.بناء على هذه الموارد، نقدم تحليلا لاستخدام وحدوث كلمات Pejorative في وسائل التواصل الاجتماعي، وتقديم محاولة لإفساد استخدام Pejorative تلقائيا في مجموعة بياناتنا.
In this paper we study pejorative language, an under-explored topic in computational linguistics. Unlike existing models of offensive language and hate speech, pejorative language manifests itself primarily at the lexical level, and describes a word that is used with a negative connotation, making it different from offensive language or other more studied categories. Pejorativity is also context-dependent: the same word can be used with or without pejorative connotations, thus pejorativity detection is essentially a problem similar to word sense disambiguation. We leverage online dictionaries to build a multilingual lexicon of pejorative terms for English, Spanish, Italian, and Romanian. We additionally release a dataset of tweets annotated for pejorative use. Based on these resources, we present an analysis of the usage and occurrence of pejorative words in social media, and present an attempt to automatically disambiguate pejorative usage in our dataset.
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