most citedSentiment Analysis For Modern Standard Arabic And Colloquial

99 citations · 119 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CL2018

Improving Dialogue Act Classification for Spontaneous Arabic Speech and Instant Messages at Utterance Level

AbdelRahim Elmadany, Sherif Abdou, Mervat Gheith

The ability to model and automatically detect dialogue act is an important step toward understanding spontaneous speech and Instant Messages. However, it has been difficult to infe…

cs.CL20159 cited

Idioms-Proverbs Lexicon for Modern Standard Arabic and Colloquial Sentiment Analysis

Hossam S. Ibrahim, Sherif M. Abdou, Mervat Gheith

Although, the fair amount of works in sentiment analysis (SA) and opinion mining (OM) systems in the last decade and with respect to the performance of these systems, but it still…

cs.CL2015

Arabic Inquiry-Answer Dialogue Acts Annotation Schema

AbdelRahim A. Elmadany, Sherif M. Abdou, Mervat Gheith

We present an annotation schema as part of an effort to create a manually annotated corpus for Arabic dialogue language understanding including spoken dialogue and written "chat" d…

cs.CL201599 cited

Sentiment Analysis For Modern Standard Arabic And Colloquial

Hossam S. Ibrahim, Sherif M. Abdou, Mervat Gheith

The rise of social media such as blogs and social networks has fueled interest in sentiment analysis. With the proliferation of reviews, ratings, recommendations and other forms of…

cs.CL20158 cited

A Survey of Arabic Dialogues Understanding for Spontaneous Dialogues and Instant Message

AbdelRahim A. Elmadany, Sherif M. Abdou, Mervat Gheith

Building dialogues systems interaction has recently gained considerable attention, but most of the resources and systems built so far are tailored to English and other Indo-Europea…

cs.CL20153 cited

Turn Segmentation into Utterances for Arabic Spontaneous Dialogues and Instance Messages

AbdelRahim A. Elmadany, Sherif M. Abdou, Mervat Gheith

Text segmentation task is an essential processing task for many of Natural Language Processing (NLP) such as text summarization, text translation, dialogue language understanding,…