Arabic dialect sentiment analysis with ZERO effort. \\ Case study: Algerian dialect
نویسندگان
چکیده
منابع مشابه
Collecting Arabic Dialect Variations using Games With A Purpose: A Case Study Targeting the Egyptian Dialect
Arabs throughout the Arab world speak different dialects of Arabic in their daily conversations. We envision collecting a data set that maps different Arabic variations and dialects to Modern Standard Arabic (MSA). These mappings can be then used to facilitate the communication among Arabs from different regions. In this work, we developed a Game With A Purpose (GWAP) to collect mappings betwee...
متن کاملArabic Dialect Identification
The written form of the Arabic language, Modern Standard Arabic (MSA), differs in a nontrivial manner from the various spoken regional dialects of Arabic – the true “native languages” of Arabic speakers. Those dialects, in turn, differ quite a bit from each other. However, due to MSA’s prevalence in written form, almost all Arabic datasets have predominantly MSA content. In this article, we des...
متن کاملArabic Dialect Processing Tutorial
The existence of dialects for any language constitutes a challenge for NLP in general since it adds another set of variation dimensions from a known standard. The problem is particularly interesting and challenging in Arabic and its different dialects, where the diversion from the standard could, in some linguistic views, warrant a classification as different languages. This problem would not b...
متن کاملHierarchical Classification for Spoken Arabic Dialect Identification using Prosody: Case of Algerian Dialects
In daily communications, Arabs use local dialects which are hard to identify automatically using conventional classification methods. The dialect identification challenging task becomes more complicated when dealing with an under-resourced dialects belonging to a same county/region. In this paper, we start by analyzing statistically Algerian dialects in order to capture their specificities rela...
متن کاملBotta: An Arabic Dialect Chatbot
This paper presents BOTTA, the first Arabic dialect chatbot. We explore the challenges of creating a conversational agent that aims to simulate friendly conversations using the Egyptian Arabic dialect. We present a number of solutions and describe the different components of the BOTTA chatbot. The BOTTA database files are publicly available for researchers working on Arabic chatbot technologies...
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ژورنال
عنوان ژورنال: Inteligencia Artificial
سال: 2020
ISSN: 1988-3064,1137-3601
DOI: 10.4114/intartif.vol23iss65pp124-135